Data-driven analysis of facial thermal responses and multimodal physiological consistency among subjects
Facial infra-red imaging (IRI) is a contact-free technique complimenting the traditional psychophysiological measures to characterize physiological profile. However, its full potential in affective research is arguably unmet due to the analytical challenges it poses. Here we acquired facial IRI data...
Saved in:
| Published in | Scientific reports Vol. 11; no. 1; pp. 12059 - 12 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
08.06.2021
Nature Publishing Group Nature Portfolio |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2045-2322 2045-2322 |
| DOI | 10.1038/s41598-021-91578-5 |
Cover
Loading…
| Abstract | Facial infra-red imaging (IRI) is a contact-free technique complimenting the traditional psychophysiological measures to characterize physiological profile. However, its full potential in affective research is arguably unmet due to the analytical challenges it poses. Here we acquired facial IRI data, facial expressions and traditional physiological recordings (heart rate and skin conductance) from healthy human subjects whilst they viewed a 20-min-long unedited emotional movie. We present a novel application of motion correction and the results of spatial independent component analysis of the thermal data. Three distinct spatial components are recovered associated with the nose, the cheeks and respiration. We first benchmark this methodology against a traditional nose-tip region-of-interest based technique showing an expected similarity of signals extracted by these methods. We then show significant correlation of all the physiological responses across subjects, including the thermal signals, suggesting common dynamic shifts in emotional state induced by the movie. In sum, this study introduces an innovative approach to analyse facial IRI data and highlights the potential of thermal imaging to robustly capture emotion-related changes induced by ecological stimuli. |
|---|---|
| AbstractList | Facial infra-red imaging (IRI) is a contact-free technique complimenting the traditional psychophysiological measures to characterize physiological profile. However, its full potential in affective research is arguably unmet due to the analytical challenges it poses. Here we acquired facial IRI data, facial expressions and traditional physiological recordings (heart rate and skin conductance) from healthy human subjects whilst they viewed a 20-min-long unedited emotional movie. We present a novel application of motion correction and the results of spatial independent component analysis of the thermal data. Three distinct spatial components are recovered associated with the nose, the cheeks and respiration. We first benchmark this methodology against a traditional nose-tip region-of-interest based technique showing an expected similarity of signals extracted by these methods. We then show significant correlation of all the physiological responses across subjects, including the thermal signals, suggesting common dynamic shifts in emotional state induced by the movie. In sum, this study introduces an innovative approach to analyse facial IRI data and highlights the potential of thermal imaging to robustly capture emotion-related changes induced by ecological stimuli. Abstract Facial infra-red imaging (IRI) is a contact-free technique complimenting the traditional psychophysiological measures to characterize physiological profile. However, its full potential in affective research is arguably unmet due to the analytical challenges it poses. Here we acquired facial IRI data, facial expressions and traditional physiological recordings (heart rate and skin conductance) from healthy human subjects whilst they viewed a 20-min-long unedited emotional movie. We present a novel application of motion correction and the results of spatial independent component analysis of the thermal data. Three distinct spatial components are recovered associated with the nose, the cheeks and respiration. We first benchmark this methodology against a traditional nose-tip region-of-interest based technique showing an expected similarity of signals extracted by these methods. We then show significant correlation of all the physiological responses across subjects, including the thermal signals, suggesting common dynamic shifts in emotional state induced by the movie. In sum, this study introduces an innovative approach to analyse facial IRI data and highlights the potential of thermal imaging to robustly capture emotion-related changes induced by ecological stimuli. Facial infra-red imaging (IRI) is a contact-free technique complimenting the traditional psychophysiological measures to characterize physiological profile. However, its full potential in affective research is arguably unmet due to the analytical challenges it poses. Here we acquired facial IRI data, facial expressions and traditional physiological recordings (heart rate and skin conductance) from healthy human subjects whilst they viewed a 20-min-long unedited emotional movie. We present a novel application of motion correction and the results of spatial independent component analysis of the thermal data. Three distinct spatial components are recovered associated with the nose, the cheeks and respiration. We first benchmark this methodology against a traditional nose-tip region-of-interest based technique showing an expected similarity of signals extracted by these methods. We then show significant correlation of all the physiological responses across subjects, including the thermal signals, suggesting common dynamic shifts in emotional state induced by the movie. In sum, this study introduces an innovative approach to analyse facial IRI data and highlights the potential of thermal imaging to robustly capture emotion-related changes induced by ecological stimuli.Facial infra-red imaging (IRI) is a contact-free technique complimenting the traditional psychophysiological measures to characterize physiological profile. However, its full potential in affective research is arguably unmet due to the analytical challenges it poses. Here we acquired facial IRI data, facial expressions and traditional physiological recordings (heart rate and skin conductance) from healthy human subjects whilst they viewed a 20-min-long unedited emotional movie. We present a novel application of motion correction and the results of spatial independent component analysis of the thermal data. Three distinct spatial components are recovered associated with the nose, the cheeks and respiration. We first benchmark this methodology against a traditional nose-tip region-of-interest based technique showing an expected similarity of signals extracted by these methods. We then show significant correlation of all the physiological responses across subjects, including the thermal signals, suggesting common dynamic shifts in emotional state induced by the movie. In sum, this study introduces an innovative approach to analyse facial IRI data and highlights the potential of thermal imaging to robustly capture emotion-related changes induced by ecological stimuli. |
| ArticleNumber | 12059 |
| Author | Sonkusare, Saurabh Pang, Tianji Frydman, Sascha Breakspear, Michael Guo, Christine Cong Nguyen, Vinh Thai Aburn, Matthew J. |
| Author_xml | – sequence: 1 givenname: Saurabh surname: Sonkusare fullname: Sonkusare, Saurabh email: sonkusaresaurabh@gmail.com organization: QIMR Berghofer Medical Research Institute, School of Medicine, The University of Queensland – sequence: 2 givenname: Michael surname: Breakspear fullname: Breakspear, Michael organization: QIMR Berghofer Medical Research Institute, The University of Newcastle – sequence: 3 givenname: Tianji surname: Pang fullname: Pang, Tianji organization: QIMR Berghofer Medical Research Institute, Northwestern Polytechnical University – sequence: 4 givenname: Vinh Thai surname: Nguyen fullname: Nguyen, Vinh Thai organization: QIMR Berghofer Medical Research Institute – sequence: 5 givenname: Sascha surname: Frydman fullname: Frydman, Sascha organization: QIMR Berghofer Medical Research Institute – sequence: 6 givenname: Christine Cong surname: Guo fullname: Guo, Christine Cong organization: QIMR Berghofer Medical Research Institute – sequence: 7 givenname: Matthew J. surname: Aburn fullname: Aburn, Matthew J. email: Matthew.Aburn@qimrberghofer.edu.au organization: QIMR Berghofer Medical Research Institute |
| BookMark | eNp9kktv3CAUha0qVfNo_kBXlrrpxilPA5tKVfqKFKmbdo2uAc8wsmEKONL8-5BxqjZZhM0F7ncOIM55cxJicE3zDqMrjKj8mBnmSnaI4E5hLmTHXzVnBDHeEUrIyX_z0-Yy5x2qgxPFsHrTnFJWPXokzprtFyjQ2eTvXGghwHTIPrdxbEcwHqa2bF2aa00u72PILlfItvMyFT9HWxv7bVXEKW68qStTGZ-LC-bQwhzDps3LsHOm5LfN6xGm7C4f60Xz-9vXX9c_utuf32-uP992hgtUOo4EUIONohIx5hgerROSEowwQhL3mCA7Gt73MAzQD2CVUUz0XDDgjtqRXjQ3q6-NsNP75GdIBx3B6-NGTBsNqXgzOS3JiAZiqOAGGFcjKLBcWgqM9YizoXp9Wr32yzA7a1woCaYnpk87wW_1Jt5piaVgklaDD48GKf5ZXC569tm4aYLg4pI14VRxIrDCFX3_DN3FJdUPOVJSir6WSsmVMinmnNyojS9QfHw4308aI_2QDr2mQ9d06GM6NK9S8kz69x0viugqyhUOG5f-3eoF1T1uWc6m |
| CitedBy_id | crossref_primary_10_3390_s23146403 crossref_primary_10_3390_signals5010008 crossref_primary_10_1007_s10936_024_10110_8 crossref_primary_10_1016_j_neuroimage_2023_120316 crossref_primary_10_1371_journal_pone_0302705 crossref_primary_10_1109_TBME_2024_3486628 crossref_primary_10_1016_j_measurement_2024_115879 crossref_primary_10_1016_j_neubiorev_2024_105992 crossref_primary_10_1080_02699931_2022_2124960 |
| Cites_doi | 10.1016/j.biopsycho.2010.03.010 10.1038/srep17471 10.1145/3218585.3224223 10.1109/ICIP.2001.958491 10.1016/j.tics.2019.05.004 10.1016/j.biopsycho.2011.09.018 10.1109/IEMBS.2007.4352270 10.1109/JSEN.2018.2877726 10.1037/1528-3542.7.1.113 10.1371/journal.pone.0079440 10.1038/s41598-019-41172-7 10.1080/02699939508408966 10.1183/20734735.009817 10.3389/fnhum.2013.00299 10.1016/j.neuroimage.2015.08.078 10.1371/journal.pone.0041196 10.1109/ICCV.2013.175 10.1007/BF01827433 10.1109/IEMBS.2007.4352269 10.1364/BOE.8.004480 10.1016/0006-8993(90)91478-Y 10.1006/nimg.2001.0986 10.1016/j.cviu.2006.08.011 10.1145/3375462.3375514 10.1016/j.ijpsycho.2005.10.024 10.1016/S1566-0702(01)00267-3 10.1016/j.ijpsycho.2010.01.011 10.1152/ajpheart.1985.248.1.H151 10.1016/j.infbeh.2007.09.001 10.1016/j.conb.2003.09.012 10.1098/rstb.2005.1634 10.1093/cercor/bhw334 10.1111/j.1469-8986.1979.tb01444.x 10.1155/2016/2094601 10.1159/000495519 10.1109/T-AFFC.2011.3 10.1007/978-1-4842-3342-9_1 10.1109/72.761722 10.1371/journal.pone.0162749 10.1126/science.1089506 10.1126/science.6166045 10.1037/emo0000042 10.1007/978-1-4614-1126-0 10.1145/1056808.1057007 10.1016/j.biopsycho.2006.08.005 10.1109/TBME.2008.2003265 10.1016/j.neuroimage.2013.11.046 10.21611/qirt.2012.223 10.1371/journal.pone.0090782 10.3390/mti4020025 10.1002/9780470987483.ch7 10.1109/ACII.2017.8273639 10.1016/j.physbeh.2010.11.029 10.1111/psyp.12243 10.1109/79.911197 |
| ContentType | Journal Article |
| Copyright | Crown 2021 The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: Crown 2021 – notice: The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION 3V. 7X7 7XB 88A 88E 88I 8FE 8FH 8FI 8FJ 8FK ABUWG AEUYN AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M2P M7P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS Q9U 7X8 5PM DOA |
| DOI | 10.1038/s41598-021-91578-5 |
| DatabaseName | Springer Nature OA Free Journals CrossRef ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Biology Database (Alumni Edition) Medical Database (Alumni Edition) Science Database (Alumni Edition) ProQuest SciTech Collection ProQuest Natural Science Collection ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection Proquest Central Natural Science Collection ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) ProQuest Biological Science Collection Health & Medical Collection (Alumni) Medical Database Science Database Biological Science Database ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Publicly Available Content Database ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Central China ProQuest Biology Journals (Alumni Edition) ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | Publicly Available Content Database CrossRef MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: C6C name: Springer Nature OA Free Journals url: http://www.springeropen.com/ sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 2045-2322 |
| EndPage | 12 |
| ExternalDocumentID | oai_doaj_org_article_82f0b2c375ca459fa9ad58d3a446054b PMC8187483 10_1038_s41598_021_91578_5 |
| GroupedDBID | 0R~ 3V. 4.4 53G 5VS 7X7 88A 88E 88I 8FE 8FH 8FI 8FJ AAFWJ AAJSJ AAKDD ABDBF ABUWG ACGFS ACSMW ACUHS ADBBV ADRAZ AENEX AEUYN AFKRA AJTQC ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS AZQEC BAWUL BBNVY BCNDV BENPR BHPHI BPHCQ BVXVI C6C CCPQU DIK DWQXO EBD EBLON EBS ESX FYUFA GNUQQ GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE KQ8 LK8 M0L M1P M2P M48 M7P M~E NAO OK1 PIMPY PQQKQ PROAC PSQYO RNT RNTTT RPM SNYQT UKHRP AASML AAYXX AFPKN CITATION PHGZM PHGZT 7XB 8FK AARCD K9. PJZUB PKEHL PPXIY PQEST PQGLB PQUKI PRINS Q9U 7X8 5PM PUEGO |
| ID | FETCH-LOGICAL-c570t-507a3c1c938044e41fde783210100816120dfc566abba6bad9c9476574a5e3df3 |
| IEDL.DBID | C6C |
| ISSN | 2045-2322 |
| IngestDate | Wed Aug 27 01:29:40 EDT 2025 Thu Aug 21 13:54:54 EDT 2025 Tue Aug 05 11:31:44 EDT 2025 Wed Aug 13 07:37:08 EDT 2025 Tue Jul 01 03:48:37 EDT 2025 Thu Apr 24 22:55:08 EDT 2025 Fri Feb 21 02:39:01 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c570t-507a3c1c938044e41fde783210100816120dfc566abba6bad9c9476574a5e3df3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | https://www.nature.com/articles/s41598-021-91578-5 |
| PMID | 34103607 |
| PQID | 2538876253 |
| PQPubID | 2041939 |
| PageCount | 12 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_82f0b2c375ca459fa9ad58d3a446054b pubmedcentral_primary_oai_pubmedcentral_nih_gov_8187483 proquest_miscellaneous_2539527191 proquest_journals_2538876253 crossref_citationtrail_10_1038_s41598_021_91578_5 crossref_primary_10_1038_s41598_021_91578_5 springer_journals_10_1038_s41598_021_91578_5 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2021-06-08 |
| PublicationDateYYYYMMDD | 2021-06-08 |
| PublicationDate_xml | – month: 06 year: 2021 text: 2021-06-08 day: 08 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London |
| PublicationTitle | Scientific reports |
| PublicationTitleAbbrev | Sci Rep |
| PublicationYear | 2021 |
| Publisher | Nature Publishing Group UK Nature Publishing Group Nature Portfolio |
| Publisher_xml | – name: Nature Publishing Group UK – name: Nature Publishing Group – name: Nature Portfolio |
| References | ShastriDImaging facial signs of neurophysiological responsesIEEE Trans. Biomed. Eng.20095624774841927294110.1109/TBME.2008.2003265 AhmadJBarker-coded thermal wave imaging for non-destructive testing and evaluation of steel materialIEEE Sens. J.20181927357422019ISenJ..19..735A10.1109/JSEN.2018.2877726 AllenJJChambersASTowersDNThe many metrics of cardiac chronotropy: A pragmatic primer and a brief comparison of metricsBiol. Psychol.20077422432621707098210.1016/j.biopsycho.2006.08.005 DowdallJPavlidisITTsiamyrtzisPCoalitional trackingComput. Vis. Image Underst.20071062–320521910.1016/j.cviu.2006.08.011 Calhoun, V. D., Adali, T., Hansen, L. K., Larsen, J., & Pekar, J. J. ICA of functional MRI data: an overview. In in Proceedings of the International Workshop on Independent Component Analysis and Blind Signal Separation. (2003). McKeownMJHansenLKSejnowskTJIndependent component analysis of functional MRI: What is signal and what is noise?Curr. Opin. Neurobiol.20031356206291:CAS:528:DC%2BD3sXptVeqs7k%3D14630228292542610.1016/j.conb.2003.09.012 Weigel, J., Williams, T., & Weigel, R. The Butterfly circus. Evolution Entertainment. (2009). ThomasBLValidity of commonly used heart rate variability markers of autonomic nervous system functionNeuropsychobiology201978114263072190310.1159/000495519 EngertVExploring the use of thermal infrared imaging in human stress researchPloS One201493e907822014PLoSO...990782E24675709396800910.1371/journal.pone.0090782 CacioppoJTTassinaryLGPrinciples of Psychophysiology: Physical, Social, and Inferential Elements1990CambridgeCambridge University Press BoucseinWElectrodermal Activity2012New YorkSpringer10.1007/978-1-4614-1126-0 NummenmaaLCalvoMGDissociation between recognition and detection advantage for facial expressions: A meta-analysisEmotion20151522432570683410.1037/emo0000042 Pavlidis, I., Levine, J., & Baukol, P. Thermal image analysis for anxiety detection. In Proceedings 2001 International Conference on Image Processing (Cat. No. 01CH37205) (Vol. 2, pp. 315–318). IEEE. (2001, October). Berntson, G. G., & Cacioppo, J. T. Heart rate variability: Stress and psychiatric conditions. Dynamic electrocardiography, 41(2), 57–64. (2004). Khanal, S. R., Barroso, J., Lopes, N., Sampaio, J., & Filipe, V. Performance analysis of microsoft's and google's emotion recognition api using pose-invariant faces. In Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion (pp. 172–178). (2018, June). PajulaJKauppiJ-PTohkaJInter-subject correlation in fMRI: Method validation against stimulus-model based analysisPloS One201278e411961:CAS:528:DC%2BC38Xht1SnsbzN22924089341450510.1371/journal.pone.0041196 NguyenVTDistinct cerebellar contributions to cognitive-perceptual dynamics during natural viewingCereb. Cortex201627125652566210.1093/cercor/bhw334 Akselrod, S., et al., Power spectrum analysis of heart rate fluctuation: A quantitative probe of beat-to-beat cardiovascular control.Science 220–222 (1981). Salimi-KhorshidiGAutomatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiersNeuroimage2014904494682438942210.1016/j.neuroimage.2013.11.046 CowieREmotion recognition in human-computer interactionIEEE Signal Process. Mag.200118132802001ISPM...18...32C10.1109/79.911197 DrummondPDSweating and vascular responses in the face: Normal regulation and dysfunction in migraine, cluster headache and harlequin syndromeClin. Auton. Res.1994452732851:STN:280:DyaK2M7psFegsw%3D%3D788874710.1007/BF01827433 Del Sole, A. Introducing microsoft cognitive services. In Microsoft Computer Vision APIs Distilled. 1–4 (Springer, 2018). SonkusareSDetecting changes in facial temperature induced by a sudden auditory stimulus based on deep learning-assisted face trackingSci. Rep.2019911112019NatSR...9....1S1:CAS:528:DC%2BC1MXotlantb8%3D10.1038/s41598-019-41172-7 Sonkusare, S., Breakspear, M., & Guo, C. (2019). Naturalistic stimuli in neuroscience: critically acclaimed. Trends in cognitive sciences, 23(8), 699–714. Ramshur, J. T. Design, evaluation, and application of heart rate variability analysis software (HRVAS) (Doctoral dissertation, University of Memphis). (2010). ManiniBMom feels what her child feels: Thermal signatures of vicarious autonomic response while watching children in a stressful situationFront. Hum. Neurosci.2013729923805091369151010.3389/fnhum.2013.00299 PomeranzBAssessment of autonomic function in humans by heart rate spectral analysisAm. J. Physiol. Heart Circ. Physiol.19852481H151H1531:STN:280:DyaL2M7hvFGktw%3D%3D10.1152/ajpheart.1985.248.1.H151 SegadeLASuaJDistribution of postganglionic parasympathetic fibers originating in the pterygopalatine ganglion in the maxillary and ophthalmic nerve branches of the trigeminal nerve; HRP and WGA-HRP study in the guinea pigBrain Res.199052223273321:STN:280:DyaK3M%2FivVOgtQ%3D%3D169963610.1016/0006-8993(90)91478-Y IoannouSSympathy crying: Insights from infrared thermal imaging on a female samplePloS One20161110e016274927716801505535810.1371/journal.pone.01627491:CAS:528:DC%2BC1MXlt1Wmtw%3D%3D RussoMASantarelliDMO’RourkeDThe physiological effects of slow breathing in the healthy humanBreathe201713429830929209423570979510.1183/20734735.009817 BachDRFristonKJDolanRJAnalytic measures for quantification of arousal from spontaneous skin conductance fluctuationsInt. J. Psychophysiol.2010761525520144665287780210.1016/j.ijpsycho.2010.01.011 BernardiLModulatory effects of respirationAuton. Neurosci.2001901–247561:STN:280:DC%2BD38%2FisFylsA%3D%3D1148529210.1016/S1566-0702(01)00267-3 Weinzaepfel, P., Revaud, J., Harchaoui, Z., & Schmid, C. DeepFlow: Large displacement optical flow with deep matching. In Proceedings of the IEEE international conference on computer vision (pp. 1385–1392). (2013). IoannouSGalleseVMerlaAThermal infrared imaging in psychophysiology: Potentialities and limitsPsychophysiology2014511095196324961292428600510.1111/psyp.12243 HassonUIntersubject synchronization of cortical activity during natural visionScience.20043035664163416402004Sci...303.1634H1:CAS:528:DC%2BD2cXhvFCnsbw%3D1501699110.1126/science.1089506 DerakhshanAIdentifying the optimal features in multimodal deception detectionMultimodal Technol. Interact.20204225407729410.3390/mti4020025 Pajula, J., & Tohka, J. How many is enough? Effect of sample size in inter-subject correlation analysis of fMRI.Comput. Intell. Neurosci. (2016). Merla, A., & Romani, G. L. Thermal signatures of emotional arousal: a functional infrared imaging study. In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 247–249). IEEE. (2007, August). StoneJSpatiotemporal independent component analysis of event-related fMRI data using skewed probability density functionsNeuroimage20021524074211:STN:280:DC%2BD38%2Fnt1Omsw%3D%3D1179827510.1006/nimg.2001.0986 JarlierSThermal analysis of facial muscles contractionsIEEE Trans. Affect. Comput.2011212910.1109/T-AFFC.2011.3 Stone, J. V., Porrill, J., Buchel, C., & Friston, K. Spatial, temporal, and spatiotemporal independent component analysis of fMRI data. In Proc. Leeds Statistical Research Workshop (pp. 7–9). (1999, July). Zhu, Z., Tsiamyrtzis, P., & Pavlidis, I. Forehead thermal signature extraction in lie detection. In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 243–246). IEEE. (2007, August). Srivastava, N. et al. Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences. In Proceedings of the Tenth International Conference on Learning Analytics & Knowledge (pp. 250–259). (2020, March). NakanishiRImai-MatsumuraKFacial skin temperature decreases in infants with joyful expressionInfant Behav. Dev.20083111371441798366110.1016/j.infbeh.2007.09.001 Strakowska, M., Strakowski, R., Wiecek, B., & Strzelecki, M. Cross-correlation based movement correction method for biomedical dynamic infrared imaging. In Proc. of the 11th International Conference on Quantitative InfraRed Thermography, Naples, Italy. (2012, June). KreibigSDAutonomic nervous system activity in emotion: A reviewBiol. Psychol.20108433944212037137410.1016/j.biopsycho.2010.03.010 RainvillePBasic emotions are associated with distinct patterns of cardiorespiratory activityInt. J. Psychophysiol.20066115181643903310.1016/j.ijpsycho.2005.10.024 BeckmannCFInvestigations into resting-state connectivity using independent component analysisPhilos. Trans. R. Soc. B Biol. Sci.200536014571001101310.1098/rstb.2005.1634 GrossJJLevensonRWEmotion elicitation using filmsCogn. Emot.1995918710810.1080/02699939508408966 BoucseinWHoffmannGA direct comparison of the skin conductance and skin resistance methodsPsychophysiology197916166701:STN:280:DyaE1M%2FnsFemuw%3D%3D75863010.1111/j.1469-8986.1979.tb01444.x SchererKREllgringHAre facial expressions of emotion produced by categorical affect programs or dynamically driven by appraisal?Emotion2007711131735256810.1037/1528-3542.7.1.113 KuraokaKNakamuraKThe use of nasal skin temperature measurements in studying emotion in macaque monkeysPhysiol. Behav.201110233473551:CAS:528:DC%2BC3MXnsFWisg%3D%3D2113010310.1016/j.physbeh.2010.11.029 PaoliniD“The face of ostracism”: The impact of the social categorization on the thermal facial responses of the target and the observerActa Physiol. (Oxf.)20161636573 NguyenVTThe integration of the internal and external milieu in the insula during dynamic emotional experiencesNeuroimage20161244554632637521110.1016/j.neuroimage.2015.08.078 HyvarinenAFast and robust fixed-point algorithms for independent component analysisIEEE Trans. Neural Netw.19991036266341:STN:280:DC%2BD1c%2FpsFSmtQ%3D%3D1825256310.1109/72.761722 KauppiJ-PInter-subject correlation of brain hemodynamic responses during watching a movie: Localization in space and frequencyFront. Neuroinform.201045204284972859808 EbischSJMother and child in synchrony: Thermal facial imprints of K Kuraoka (91578_CR10) 2011; 102 A Hyvarinen (91578_CR31) 1999; 10 91578_CR36 91578_CR33 91578_CR34 BL Thomas (91578_CR37) 2019; 78 W Boucsein (91578_CR58) 2012 U Hasson (91578_CR22) 2004; 303 P Rainville (91578_CR3) 2006; 61 JJ Gross (91578_CR24) 1995; 9 J Ahmad (91578_CR30) 2018; 19 R Cowie (91578_CR44) 2001; 18 W Boucsein (91578_CR57) 1979; 16 L Bernardi (91578_CR38) 2001; 90 J-P Kauppi (91578_CR40) 2010; 4 P Pinti (91578_CR12) 2015; 5 D Paolini (91578_CR17) 2016; 163 91578_CR23 91578_CR28 91578_CR29 CF Beckmann (91578_CR20) 2005; 360 DR Bach (91578_CR56) 2010; 76 S Jarlier (91578_CR5) 2011; 2 KR Scherer (91578_CR60) 2007; 7 S Ioannou (91578_CR9) 2013; 8 B Pomeranz (91578_CR35) 1985; 248 VT Nguyen (91578_CR41) 2016; 124 A Derakhshan (91578_CR18) 2020; 4 D Shastri (91578_CR39) 2009; 56 Y Cho (91578_CR51) 2017; 8 91578_CR6 L Nummenmaa (91578_CR59) 2015; 15 91578_CR21 91578_CR62 91578_CR13 91578_CR11 S Ioannou (91578_CR25) 2016; 11 MA Russo (91578_CR45) 2017; 13 V Engert (91578_CR8) 2014; 9 VT Nguyen (91578_CR26) 2016; 27 SD Kreibig (91578_CR2) 2010; 84 R Nakanishi (91578_CR47) 2008; 31 91578_CR50 SJ Ebisch (91578_CR7) 2012; 89 91578_CR52 91578_CR46 S Ioannou (91578_CR4) 2014; 51 S Sonkusare (91578_CR15) 2019; 9 B Manini (91578_CR14) 2013; 7 91578_CR48 JT Cacioppo (91578_CR1) 1990 91578_CR49 J Pajula (91578_CR27) 2012; 7 LA Segade (91578_CR55) 1990; 522 JJ Allen (91578_CR32) 2007; 74 MJ McKeown (91578_CR19) 2003; 13 J Dowdall (91578_CR16) 2007; 106 J Stone (91578_CR53) 2002; 15 G Salimi-Khorshidi (91578_CR61) 2014; 90 PD Drummond (91578_CR54) 1994; 4 91578_CR42 91578_CR43 |
| References_xml | – reference: GrossJJLevensonRWEmotion elicitation using filmsCogn. Emot.1995918710810.1080/02699939508408966 – reference: NguyenVTDistinct cerebellar contributions to cognitive-perceptual dynamics during natural viewingCereb. Cortex201627125652566210.1093/cercor/bhw334 – reference: SchererKREllgringHAre facial expressions of emotion produced by categorical affect programs or dynamically driven by appraisal?Emotion2007711131735256810.1037/1528-3542.7.1.113 – reference: Merla, A., & Romani, G. L. Thermal signatures of emotional arousal: a functional infrared imaging study. In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 247–249). IEEE. (2007, August). – reference: EngertVExploring the use of thermal infrared imaging in human stress researchPloS One201493e907822014PLoSO...990782E24675709396800910.1371/journal.pone.0090782 – reference: CowieREmotion recognition in human-computer interactionIEEE Signal Process. Mag.200118132802001ISPM...18...32C10.1109/79.911197 – reference: BoucseinWHoffmannGA direct comparison of the skin conductance and skin resistance methodsPsychophysiology197916166701:STN:280:DyaE1M%2FnsFemuw%3D%3D75863010.1111/j.1469-8986.1979.tb01444.x – reference: Srivastava, N. et al. Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences. In Proceedings of the Tenth International Conference on Learning Analytics & Knowledge (pp. 250–259). (2020, March). – reference: JarlierSThermal analysis of facial muscles contractionsIEEE Trans. Affect. Comput.2011212910.1109/T-AFFC.2011.3 – reference: EbischSJMother and child in synchrony: Thermal facial imprints of autonomic contagionBiol Psychol20128911231292200126710.1016/j.biopsycho.2011.09.018 – reference: ManiniBMom feels what her child feels: Thermal signatures of vicarious autonomic response while watching children in a stressful situationFront. Hum. Neurosci.2013729923805091369151010.3389/fnhum.2013.00299 – reference: Puri, C., Olson, L., Pavlidis, I., Levine, J., & Starren, J. StressCam: non-contact measurement of users' emotional states through thermal imaging. In CHI'05 extended abstracts on Human factors in computing systems (pp. 1725–1728). (2005, April). – reference: NummenmaaLCalvoMGDissociation between recognition and detection advantage for facial expressions: A meta-analysisEmotion20151522432570683410.1037/emo0000042 – reference: SegadeLASuaJDistribution of postganglionic parasympathetic fibers originating in the pterygopalatine ganglion in the maxillary and ophthalmic nerve branches of the trigeminal nerve; HRP and WGA-HRP study in the guinea pigBrain Res.199052223273321:STN:280:DyaK3M%2FivVOgtQ%3D%3D169963610.1016/0006-8993(90)91478-Y – reference: BeckmannCFInvestigations into resting-state connectivity using independent component analysisPhilos. Trans. R. Soc. B Biol. Sci.200536014571001101310.1098/rstb.2005.1634 – reference: Sonkusare, S., Breakspear, M., & Guo, C. (2019). Naturalistic stimuli in neuroscience: critically acclaimed. Trends in cognitive sciences, 23(8), 699–714. – reference: AhmadJBarker-coded thermal wave imaging for non-destructive testing and evaluation of steel materialIEEE Sens. J.20181927357422019ISenJ..19..735A10.1109/JSEN.2018.2877726 – reference: ShastriDImaging facial signs of neurophysiological responsesIEEE Trans. Biomed. Eng.20095624774841927294110.1109/TBME.2008.2003265 – reference: AllenJJChambersASTowersDNThe many metrics of cardiac chronotropy: A pragmatic primer and a brief comparison of metricsBiol. Psychol.20077422432621707098210.1016/j.biopsycho.2006.08.005 – reference: ThomasBLValidity of commonly used heart rate variability markers of autonomic nervous system functionNeuropsychobiology201978114263072190310.1159/000495519 – reference: Akselrod, S., et al., Power spectrum analysis of heart rate fluctuation: A quantitative probe of beat-to-beat cardiovascular control.Science 220–222 (1981). – reference: Stone, J. V., Porrill, J., Buchel, C., & Friston, K. Spatial, temporal, and spatiotemporal independent component analysis of fMRI data. In Proc. Leeds Statistical Research Workshop (pp. 7–9). (1999, July). – reference: SonkusareSDetecting changes in facial temperature induced by a sudden auditory stimulus based on deep learning-assisted face trackingSci. Rep.2019911112019NatSR...9....1S1:CAS:528:DC%2BC1MXotlantb8%3D10.1038/s41598-019-41172-7 – reference: BachDRFristonKJDolanRJAnalytic measures for quantification of arousal from spontaneous skin conductance fluctuationsInt. J. Psychophysiol.2010761525520144665287780210.1016/j.ijpsycho.2010.01.011 – reference: KauppiJ-PInter-subject correlation of brain hemodynamic responses during watching a movie: Localization in space and frequencyFront. Neuroinform.201045204284972859808 – reference: Pajula, J., & Tohka, J. How many is enough? Effect of sample size in inter-subject correlation analysis of fMRI.Comput. Intell. Neurosci. (2016). – reference: RainvillePBasic emotions are associated with distinct patterns of cardiorespiratory activityInt. J. Psychophysiol.20066115181643903310.1016/j.ijpsycho.2005.10.024 – reference: StoneJSpatiotemporal independent component analysis of event-related fMRI data using skewed probability density functionsNeuroimage20021524074211:STN:280:DC%2BD38%2Fnt1Omsw%3D%3D1179827510.1006/nimg.2001.0986 – reference: PajulaJKauppiJ-PTohkaJInter-subject correlation in fMRI: Method validation against stimulus-model based analysisPloS One201278e411961:CAS:528:DC%2BC38Xht1SnsbzN22924089341450510.1371/journal.pone.0041196 – reference: DrummondPDSweating and vascular responses in the face: Normal regulation and dysfunction in migraine, cluster headache and harlequin syndromeClin. Auton. Res.1994452732851:STN:280:DyaK2M7psFegsw%3D%3D788874710.1007/BF01827433 – reference: Pavlidis, I., Levine, J., & Baukol, P. Thermal image analysis for anxiety detection. In Proceedings 2001 International Conference on Image Processing (Cat. No. 01CH37205) (Vol. 2, pp. 315–318). IEEE. (2001, October). – reference: RussoMASantarelliDMO’RourkeDThe physiological effects of slow breathing in the healthy humanBreathe201713429830929209423570979510.1183/20734735.009817 – reference: Weigel, J., Williams, T., & Weigel, R. The Butterfly circus. Evolution Entertainment. (2009). – reference: Khanal, S. R., Barroso, J., Lopes, N., Sampaio, J., & Filipe, V. Performance analysis of microsoft's and google's emotion recognition api using pose-invariant faces. In Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion (pp. 172–178). (2018, June). – reference: NakanishiRImai-MatsumuraKFacial skin temperature decreases in infants with joyful expressionInfant Behav. Dev.20083111371441798366110.1016/j.infbeh.2007.09.001 – reference: Del Sole, A. Introducing microsoft cognitive services. In Microsoft Computer Vision APIs Distilled. 1–4 (Springer, 2018). – reference: KreibigSDAutonomic nervous system activity in emotion: A reviewBiol. Psychol.20108433944212037137410.1016/j.biopsycho.2010.03.010 – reference: Ramshur, J. T. Design, evaluation, and application of heart rate variability analysis software (HRVAS) (Doctoral dissertation, University of Memphis). (2010). – reference: Strakowska, M., Strakowski, R., Wiecek, B., & Strzelecki, M. Cross-correlation based movement correction method for biomedical dynamic infrared imaging. In Proc. of the 11th International Conference on Quantitative InfraRed Thermography, Naples, Italy. (2012, June). – reference: BoucseinWElectrodermal Activity2012New YorkSpringer10.1007/978-1-4614-1126-0 – reference: PomeranzBAssessment of autonomic function in humans by heart rate spectral analysisAm. J. Physiol. Heart Circ. Physiol.19852481H151H1531:STN:280:DyaL2M7hvFGktw%3D%3D10.1152/ajpheart.1985.248.1.H151 – reference: Cho, Y., Bianchi-Berthouze, N., & Julier, S. J. DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settings. In 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII) (pp. 456–463). IEEE. (2017, October). – reference: HyvarinenAFast and robust fixed-point algorithms for independent component analysisIEEE Trans. Neural Netw.19991036266341:STN:280:DC%2BD1c%2FpsFSmtQ%3D%3D1825256310.1109/72.761722 – reference: CacioppoJTTassinaryLGPrinciples of Psychophysiology: Physical, Social, and Inferential Elements1990CambridgeCambridge University Press – reference: IoannouSThe autonomic signature of guilt in children: A thermal infrared imaging studyPLoS One2013811e794402013PLoSO...879440I24260220383418510.1371/journal.pone.00794401:CAS:528:DC%2BC2cXjtl2msA%3D%3D – reference: Calhoun, V. D., Adali, T., Hansen, L. K., Larsen, J., & Pekar, J. J. ICA of functional MRI data: an overview. In in Proceedings of the International Workshop on Independent Component Analysis and Blind Signal Separation. (2003). – reference: IoannouSSympathy crying: Insights from infrared thermal imaging on a female samplePloS One20161110e016274927716801505535810.1371/journal.pone.01627491:CAS:528:DC%2BC1MXlt1Wmtw%3D%3D – reference: DerakhshanAIdentifying the optimal features in multimodal deception detectionMultimodal Technol. Interact.20204225407729410.3390/mti4020025 – reference: PaoliniD“The face of ostracism”: The impact of the social categorization on the thermal facial responses of the target and the observerActa Physiol. (Oxf.)20161636573 – reference: BernardiLModulatory effects of respirationAuton. Neurosci.2001901–247561:STN:280:DC%2BD38%2FisFylsA%3D%3D1148529210.1016/S1566-0702(01)00267-3 – reference: IoannouSGalleseVMerlaAThermal infrared imaging in psychophysiology: Potentialities and limitsPsychophysiology2014511095196324961292428600510.1111/psyp.12243 – reference: Berntson, G. G., & Cacioppo, J. T. Heart rate variability: Stress and psychiatric conditions. Dynamic electrocardiography, 41(2), 57–64. (2004). – reference: NguyenVTThe integration of the internal and external milieu in the insula during dynamic emotional experiencesNeuroimage20161244554632637521110.1016/j.neuroimage.2015.08.078 – reference: HassonUIntersubject synchronization of cortical activity during natural visionScience.20043035664163416402004Sci...303.1634H1:CAS:528:DC%2BD2cXhvFCnsbw%3D1501699110.1126/science.1089506 – reference: PintiPCardoneDMerlaASimultaneous fNIRS and thermal infrared imaging during cognitive task reveal autonomic correlates of prefrontal cortex activitySci. Rep.20155174712015NatSR...517471P1:CAS:528:DC%2BC2MXhvFGmtrvK26632763466837310.1038/srep17471 – reference: Weinzaepfel, P., Revaud, J., Harchaoui, Z., & Schmid, C. DeepFlow: Large displacement optical flow with deep matching. In Proceedings of the IEEE international conference on computer vision (pp. 1385–1392). (2013). – reference: McKeownMJHansenLKSejnowskTJIndependent component analysis of functional MRI: What is signal and what is noise?Curr. Opin. Neurobiol.20031356206291:CAS:528:DC%2BD3sXptVeqs7k%3D14630228292542610.1016/j.conb.2003.09.012 – reference: Zhu, Z., Tsiamyrtzis, P., & Pavlidis, I. Forehead thermal signature extraction in lie detection. In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 243–246). IEEE. (2007, August). – reference: ChoYRobust tracking of respiratory rate in high-dynamic range scenes using mobile thermal imagingBiomed. Opt. Express20178104480450329082079565479410.1364/BOE.8.004480 – reference: KuraokaKNakamuraKThe use of nasal skin temperature measurements in studying emotion in macaque monkeysPhysiol. Behav.201110233473551:CAS:528:DC%2BC3MXnsFWisg%3D%3D2113010310.1016/j.physbeh.2010.11.029 – reference: DowdallJPavlidisITTsiamyrtzisPCoalitional trackingComput. Vis. Image Underst.20071062–320521910.1016/j.cviu.2006.08.011 – reference: Salimi-KhorshidiGAutomatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiersNeuroimage2014904494682438942210.1016/j.neuroimage.2013.11.046 – volume: 84 start-page: 394 issue: 3 year: 2010 ident: 91578_CR2 publication-title: Biol. Psychol. doi: 10.1016/j.biopsycho.2010.03.010 – volume: 5 start-page: 17471 year: 2015 ident: 91578_CR12 publication-title: Sci. Rep. doi: 10.1038/srep17471 – ident: 91578_CR43 doi: 10.1145/3218585.3224223 – ident: 91578_CR11 doi: 10.1109/ICIP.2001.958491 – ident: 91578_CR21 – ident: 91578_CR23 doi: 10.1016/j.tics.2019.05.004 – volume: 89 start-page: 123 issue: 1 year: 2012 ident: 91578_CR7 publication-title: Biol Psychol doi: 10.1016/j.biopsycho.2011.09.018 – ident: 91578_CR46 doi: 10.1109/IEMBS.2007.4352270 – volume: 19 start-page: 735 issue: 2 year: 2018 ident: 91578_CR30 publication-title: IEEE Sens. J. doi: 10.1109/JSEN.2018.2877726 – volume: 7 start-page: 113 issue: 1 year: 2007 ident: 91578_CR60 publication-title: Emotion doi: 10.1037/1528-3542.7.1.113 – volume: 8 start-page: e79440 issue: 11 year: 2013 ident: 91578_CR9 publication-title: PLoS One doi: 10.1371/journal.pone.0079440 – volume: 9 start-page: 1 issue: 1 year: 2019 ident: 91578_CR15 publication-title: Sci. Rep. doi: 10.1038/s41598-019-41172-7 – volume: 9 start-page: 87 issue: 1 year: 1995 ident: 91578_CR24 publication-title: Cogn. Emot. doi: 10.1080/02699939508408966 – volume: 13 start-page: 298 issue: 4 year: 2017 ident: 91578_CR45 publication-title: Breathe doi: 10.1183/20734735.009817 – volume: 7 start-page: 299 year: 2013 ident: 91578_CR14 publication-title: Front. Hum. Neurosci. doi: 10.3389/fnhum.2013.00299 – volume-title: Principles of Psychophysiology: Physical, Social, and Inferential Elements year: 1990 ident: 91578_CR1 – volume: 124 start-page: 455 year: 2016 ident: 91578_CR41 publication-title: Neuroimage doi: 10.1016/j.neuroimage.2015.08.078 – volume: 7 start-page: e41196 issue: 8 year: 2012 ident: 91578_CR27 publication-title: PloS One doi: 10.1371/journal.pone.0041196 – ident: 91578_CR29 doi: 10.1109/ICCV.2013.175 – volume: 4 start-page: 273 issue: 5 year: 1994 ident: 91578_CR54 publication-title: Clin. Auton. Res. doi: 10.1007/BF01827433 – ident: 91578_CR33 – ident: 91578_CR49 doi: 10.1109/IEMBS.2007.4352269 – volume: 8 start-page: 4480 issue: 10 year: 2017 ident: 91578_CR51 publication-title: Biomed. Opt. Express doi: 10.1364/BOE.8.004480 – volume: 522 start-page: 327 issue: 2 year: 1990 ident: 91578_CR55 publication-title: Brain Res. doi: 10.1016/0006-8993(90)91478-Y – volume: 15 start-page: 407 issue: 2 year: 2002 ident: 91578_CR53 publication-title: Neuroimage doi: 10.1006/nimg.2001.0986 – volume: 106 start-page: 205 issue: 2–3 year: 2007 ident: 91578_CR16 publication-title: Comput. Vis. Image Underst. doi: 10.1016/j.cviu.2006.08.011 – ident: 91578_CR52 – ident: 91578_CR6 doi: 10.1145/3375462.3375514 – volume: 61 start-page: 5 issue: 1 year: 2006 ident: 91578_CR3 publication-title: Int. J. Psychophysiol. doi: 10.1016/j.ijpsycho.2005.10.024 – volume: 90 start-page: 47 issue: 1–2 year: 2001 ident: 91578_CR38 publication-title: Auton. Neurosci. doi: 10.1016/S1566-0702(01)00267-3 – volume: 76 start-page: 52 issue: 1 year: 2010 ident: 91578_CR56 publication-title: Int. J. Psychophysiol. doi: 10.1016/j.ijpsycho.2010.01.011 – volume: 163 start-page: 65 year: 2016 ident: 91578_CR17 publication-title: Acta Physiol. (Oxf.) – volume: 248 start-page: H151 issue: 1 year: 1985 ident: 91578_CR35 publication-title: Am. J. Physiol. Heart Circ. Physiol. doi: 10.1152/ajpheart.1985.248.1.H151 – volume: 31 start-page: 137 issue: 1 year: 2008 ident: 91578_CR47 publication-title: Infant Behav. Dev. doi: 10.1016/j.infbeh.2007.09.001 – volume: 13 start-page: 620 issue: 5 year: 2003 ident: 91578_CR19 publication-title: Curr. Opin. Neurobiol. doi: 10.1016/j.conb.2003.09.012 – volume: 4 start-page: 5 year: 2010 ident: 91578_CR40 publication-title: Front. Neuroinform. – volume: 360 start-page: 1001 issue: 1457 year: 2005 ident: 91578_CR20 publication-title: Philos. Trans. R. Soc. B Biol. Sci. doi: 10.1098/rstb.2005.1634 – volume: 27 start-page: 5652 issue: 12 year: 2016 ident: 91578_CR26 publication-title: Cereb. Cortex doi: 10.1093/cercor/bhw334 – volume: 16 start-page: 66 issue: 1 year: 1979 ident: 91578_CR57 publication-title: Psychophysiology doi: 10.1111/j.1469-8986.1979.tb01444.x – ident: 91578_CR62 doi: 10.1155/2016/2094601 – volume: 78 start-page: 14 issue: 1 year: 2019 ident: 91578_CR37 publication-title: Neuropsychobiology doi: 10.1159/000495519 – volume: 2 start-page: 2 issue: 1 year: 2011 ident: 91578_CR5 publication-title: IEEE Trans. Affect. Comput. doi: 10.1109/T-AFFC.2011.3 – ident: 91578_CR42 doi: 10.1007/978-1-4842-3342-9_1 – volume: 10 start-page: 626 issue: 3 year: 1999 ident: 91578_CR31 publication-title: IEEE Trans. Neural Netw. doi: 10.1109/72.761722 – volume: 11 start-page: e0162749 issue: 10 year: 2016 ident: 91578_CR25 publication-title: PloS One doi: 10.1371/journal.pone.0162749 – volume: 303 start-page: 1634 issue: 5664 year: 2004 ident: 91578_CR22 publication-title: Science. doi: 10.1126/science.1089506 – ident: 91578_CR34 doi: 10.1126/science.6166045 – volume: 15 start-page: 243 issue: 2 year: 2015 ident: 91578_CR59 publication-title: Emotion doi: 10.1037/emo0000042 – volume-title: Electrodermal Activity year: 2012 ident: 91578_CR58 doi: 10.1007/978-1-4614-1126-0 – ident: 91578_CR48 doi: 10.1145/1056808.1057007 – ident: 91578_CR28 – volume: 74 start-page: 243 issue: 2 year: 2007 ident: 91578_CR32 publication-title: Biol. Psychol. doi: 10.1016/j.biopsycho.2006.08.005 – volume: 56 start-page: 477 issue: 2 year: 2009 ident: 91578_CR39 publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2008.2003265 – volume: 90 start-page: 449 year: 2014 ident: 91578_CR61 publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.11.046 – ident: 91578_CR13 doi: 10.21611/qirt.2012.223 – volume: 9 start-page: e90782 issue: 3 year: 2014 ident: 91578_CR8 publication-title: PloS One doi: 10.1371/journal.pone.0090782 – volume: 4 start-page: 25 issue: 2 year: 2020 ident: 91578_CR18 publication-title: Multimodal Technol. Interact. doi: 10.3390/mti4020025 – ident: 91578_CR36 doi: 10.1002/9780470987483.ch7 – ident: 91578_CR50 doi: 10.1109/ACII.2017.8273639 – volume: 102 start-page: 347 issue: 3 year: 2011 ident: 91578_CR10 publication-title: Physiol. Behav. doi: 10.1016/j.physbeh.2010.11.029 – volume: 51 start-page: 951 issue: 10 year: 2014 ident: 91578_CR4 publication-title: Psychophysiology doi: 10.1111/psyp.12243 – volume: 18 start-page: 32 issue: 1 year: 2001 ident: 91578_CR44 publication-title: IEEE Signal Process. Mag. doi: 10.1109/79.911197 |
| SSID | ssj0000529419 |
| Score | 2.3888338 |
| Snippet | Facial infra-red imaging (IRI) is a contact-free technique complimenting the traditional psychophysiological measures to characterize physiological profile.... Abstract Facial infra-red imaging (IRI) is a contact-free technique complimenting the traditional psychophysiological measures to characterize physiological... |
| SourceID | doaj pubmedcentral proquest crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 12059 |
| SubjectTerms | 631/378 631/378/1959 631/378/1959/1315 631/477/2811 Cheek Conductance Emotions Heart rate Humanities and Social Sciences multidisciplinary Nose Physiological responses Physiology Psychophysiological measures Science Science (multidisciplinary) Spatial analysis |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1La9wwEBYlEOil9EndpEWF3loT2ZJW8rF5EQrtqYHcxOhFCo23rHcP-fedkb3bONDm0pPBkmVbM5r5JI2-YeyD8Ea3NukaoavHCYr1NSTItYDohYpJZElnh79-W1xcqi9X-upOqi-KCRvpgceOO7JtFr4N0ugASncZOojaRgmKdvSUJ-uLPu_OZGpk9W471XTTKRkh7dGAnopOk1FEQoNqWuuZJyqE_TOUeT9G8t5GafE_50_Zkwk48s_jBz9jj1L_nO2PqSRvX7DrU1hDHVdkvDhMTCN8mXkGWhTnhPNu8LoaY2LTgJUiL-GEN8uIBWWJY2sJeaC42YHw9C0v-Yj4sPG0ZDO8ZJfnZ99PLuopi0IdtBHrGgEfyNCETlqhVFJNjslQfiJBvD4I-FoRc0BUB97DwkPsQqfMQhsFOsmY5Su21y_79Jpxo0FFQIAXWqkCQbuMjavcARoOlHPFmm2PujBRjFOmi5-ubHVL60YpOJSCK1JwumIfd8_8Ggk2_ln7mAS1q0nk2OUGqoybVMY9pDIVO9yK2U0jdnAtWn7yDFpW7P2uGMcabaBAn5abUqfTrcEpbsXMTD1mHzQv6X9cF9ZuS9kPLbb-aatIf17-9x9-8z9--IA9bknxafHIHrK99WqT3iKWWvt3Zdj8BilCG7o priority: 102 providerName: Directory of Open Access Journals – databaseName: Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwELagCIkL4ikCBRmJG0R1YnvtnBCvqkKCE5X2ZvlJkWjSbnYP_ffMOM5WqURPkWLHcTIPf54ZzxDyjjklWx1lDdDVwQZFu9pGm2pmg2MiRJY4nh3-8XN1ciq-r-W6GNzGElY568SsqMPg0UZ-1IJkouRK_vHissaqUehdLSU07pJ7mLoMN19qrfY2FvRiiaYrZ2UY10cjrFd4pgzjEhpg1lou1qOctn-BNW9GSt5wl-ZV6PgReVjgI_000fsxuRP7J-T-VFDy6ik5-2q3tg4bVGHUlnwjdEg0WTSNU0R753DdTJGxcYROgeagwvMhQEM2dMz6kHqMnh0RVV_RXJWIjjuHhpvxGTk9_vbry0ldainUXiq2rQH2We4b33HNhIiiSSEqrFLEMLsPwL6WheQB21nn7MrZ0PlOqJVUwsrIQ-LPyUE_9PEFoUpaESzAPN9y4RHgJRhcpM6C-gBqV6SZ_6jxJdE41rv4a7LDm2szUcEAFUymgpEVeb9_5mJKs3Fr789IqH1PTJGdbwyb36ZInNFtYq71HOZpheyS7WyQOnAr0BUsXEUOZzKbIrejueayirzdN4PEoRvF9nHY5T6dbBVsdCuiFuyxmNCypf9zlnN3a6yBqGH0DzMjXb_8_x_88va5viIPWmRpNA7pQ3Kw3ezia8BKW_cmC8Q_RkYTOA priority: 102 providerName: ProQuest – databaseName: Scholars Portal Journals: Open Access dbid: M48 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bi9UwEA7riuDL4hWrq0TwTattk5ymDyLelkVYnzywb2Fyc4XdHm3PgT3_3pm0PdJlFXwqNJP0MpPMl2QyH2MvClurSgeVI3S1OEHRNocAMS_A20L6UERBZ4dPvi6Ol_LLqTrdYxPd0fgD-2undsQntezOX1_-2r7DDv92ODKu3_TohOigGAUblGiBubrBbqJnqonK4WSE-0Ou76qRZTOenbm-6sw_pTT-M-x5NXLyyvZp8kpHd9jBCCf5-0H_d9leaO-xWwPB5PY-O_sEa8h9R0MahzH_CF9FHoGWyjmhvwu8dkOkbOhRyPMUZHix8liQFj6m8ZE7iqbtCWVveWIp4v3G0kJO_4Atjz5_-3icj9wKuVN1sc4RBoJwpWuELqQMsow-1MRaVFC2H4SBVeGjQ6wH1sLCgm9cI-uFqiWoIHwUD9l-u2rDI8ZrBdIDwj5XCekI8EVsXMYGcDhB7WesnP6ocWPiceK_ODdpA1xoM2jBoBZM0oJRGXu5q_NzSLvxT-kPpKidJKXMTjdW3Xcz9kCjq1jYygl8T5CqidCAV9oLkLQ1LG3GDic1m8kMTYX-gPyFEhl7vivGHkjbKtCG1SbJNKqqceKbsXpmHrMXmpe0P85SLm9NnIgaW381GdKfh__9gx__n_gTdrsiE6fFI33I9tfdJjxFLLW2z1IH-Q2Ykhqq priority: 102 providerName: Scholars Portal |
| Title | Data-driven analysis of facial thermal responses and multimodal physiological consistency among subjects |
| URI | https://link.springer.com/article/10.1038/s41598-021-91578-5 https://www.proquest.com/docview/2538876253 https://www.proquest.com/docview/2539527191 https://pubmed.ncbi.nlm.nih.gov/PMC8187483 https://doaj.org/article/82f0b2c375ca459fa9ad58d3a446054b |
| Volume | 11 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1La9wwEBZ5UOil9EndpIsKvbWmXktaycfNNiEsJJS2gb0JPZtAY5f17iH_PjOyvcWhLfRigzW2Zc9o9GlmNEPI-8JKUaogcoCuFhYoyuYmmJgXxtuC-1BEhnuHLy5n51d8uRKrPVIOe2FS0H5KaZnU9BAd9qmFiQY3g2FAwRSkLBf75BBTt2MY32K22NlV0HPFp1W_P6Zg6g-3juaglKp_hC8fRkc-cJGmmefsKXnSQ0Y67zr5jOyF-jl51BWRvHtBrj-bjcn9GtUWNX2OEdpEGg2awykivFs4r7to2NACkacpkPC28dCQjBuDDqQOI2ZbRNJ3NFUiou3WorGmfUmuzk6_L87zvn5C7oQsNjlAPcPc1FVMFZwHPo0-SKxMVGBGH4B6ZeGjAzxnrDUza3zlKi5nQnIjAvORvSIHdVOH14RKYbg3AO1cybhDUBfh4TxWBlQGcDgj0-GPatcnF8caFz91cnIzpTsuaOCCTlzQIiMfdvf86lJr_JP6BBm1o8S02OlCs_6hezHRqoyFLR2Dfhouqmgq44XyzHB0_3KbkeOBzbofq60uQefjnCBYRt7tmmGUoevE1KHZJppKlBIWtxmRI_EYdWjcUt9cp3zdCuseKnj6x0GQfr_87x_85v_Ij8jjEkUcDUTqmBxs1tvwFvDSxk7IvlzJCTmcz5fflnA-Ob388nWShs0k2SDgeMHVPX6ZFug |
| linkProvider | Springer Nature |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwED-NTgheEJ-iY4CR4AmipbHdJA8IMbapY1uF0CbtzfiTIW3NaFqh_lP8jdw5SadOYm97ihQ7jpP78M935zuAt6nJZVZ4mSB0NbhBKUyivQ5Jqp1JhfNp4HR2-Gg8HJ2Ir6fydA3-dmdhKKyy04lRUbvKko18K0PJJMmV_NPl74SqRpF3tSuh0bDFgV_8wS1b_XF_B-n7Lsv2do-_jJK2qkBiZZ7OEgRAmtuBLXmRCuHFIDifU72elPLcIADKUhcsohxtjB4a7Upbinwoc6Gl5y5wHPcOrAuOUKEH69u742_fl1Yd8puJQdmezkl5sVXjCkmn2CgSYoDikciVFTAWClhBt9djM685aOO6t_cQHrSAlX1uOOwRrPnJY7jblLBcPIGzHT3TiZuS0mS6zXDCqsCCJmM8I3x5gddpE4vra-zkWAxjvKgcNkTTSqeBmaV43Zpw_ILFOkisnhsyFdVP4eRW_vMz6E2qiX8OLJdaOI3A0mZcWIKUAQcXodSosJC_-jDo_qiybWpzqrBxrqKLnReqoYJCKqhIBSX78H75zGWT2OPG3ttEqGVPSsodb1TTn6qVcVVkITWZ5ThPLWQZdKmdLBzXgpzPwvRhsyOzajVFra74ug9vls0o4-S40RNfzWOfUmY5bq37kK-wx8qEVlsmv85itvCCqi4WOPqHjpGuXv7_D964ea6v4d7o-OhQHe6PD17A_YzYm0xTxSb0ZtO5f4lIbWZeteLB4MdtS-Q_JqZQWQ |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZKEYgL4qmmFDASnCDaJLbXyQEhYFm1FCoOVNqb8ZMi0aTd7ArtX-PXMeMkW20leuspUuw4TubhzzPjGUJeZkaKovQiBehqYINSmlR7HdJMO5Nx57PA8Ozw16Px_jH_PBOzLfJ3OAuDYZWDToyK2jUWbeSjAiQTJVewUejDIr5Npu_OzlOsIIWe1qGcRscih371B7Zv7duDCdD6VVFMP33_uJ_2FQZSK2S2SAEMaWZzW7Ey49zzPDgvsXZPhjlvAAwVmQsWEI82Ro-NdpWtuBwLybXwzAUG494gNyWDZRNkSc7k2r6DHjSeV_05nYyVoxbWSjzPhjEROQhKKjbWwlgyYAPnXo7SvOSqjSvg9B6520NX-r7jtftky9cPyK2umOXqITmZ6IVO3RzVJ9V9rhPaBBo0muUpIs1TuM67qFzfQidHY0DjaeOgIRpZBl1MLUbutojoVzRWRKLt0qDRqH1Ejq_lLz8m23VT-x1CpdDcaYCYtmDcIrgMMDgPlQbVBZyWkHz4o8r2Sc6x1sZvFZ3trFQdFRRQQUUqKJGQ1-tnzroUH1f2_oCEWvfE9NzxRjP_qXppV2URMlNYBvPUXFRBV9qJ0jHN0Q3NTUL2BjKrXme06oLDE_Ji3QzSji4cXftmGftUopCwyU6I3GCPjQltttS_TmLe8BLrL5Yw-puBkS5e_v8P3r16rs_JbZBD9eXg6PAJuVMgd6ONqtwj24v50j8FyLYwz6JsUPLjuoXxHxtWUyk |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Data-driven+analysis+of+facial+thermal+responses+and+multimodal+physiological+consistency+among+subjects&rft.jtitle=Scientific+reports&rft.au=Sonkusare%2C+Saurabh&rft.au=Breakspear%2C+Michael&rft.au=Pang%2C+Tianji&rft.au=Nguyen%2C+Vinh+Thai&rft.date=2021-06-08&rft.pub=Nature+Publishing+Group+UK&rft.eissn=2045-2322&rft.volume=11&rft.issue=1&rft_id=info:doi/10.1038%2Fs41598-021-91578-5&rft.externalDocID=10_1038_s41598_021_91578_5 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-2322&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-2322&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-2322&client=summon |