Postural Hand Synergies during Environmental Constraint Exploitation
Humans are able to intuitively exploit the shape of an object and environmental constraints to achieve stable grasps and perform dexterous manipulations. In doing that, a vast range of kinematic strategies can be observed. However, in this work we formulate the hypothesis that such ability can be de...
Saved in:
Published in | Frontiers in neurorobotics Vol. 11; p. 41 |
---|---|
Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Research Foundation
29.08.2017
Frontiers Media S.A |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Humans are able to intuitively exploit the shape of an object and environmental constraints to achieve stable grasps and perform dexterous manipulations. In doing that, a vast range of kinematic strategies can be observed. However, in this work we formulate the hypothesis that such ability can be described in terms of a synergistic behavior in the generation of hand postures, i.e., using a reduced set of commonly used kinematic patterns. This is in analogy with previous studies showing the presence of such behavior in different tasks, such as grasping. We investigated this hypothesis in experiments performed by six subjects, who were asked to grasp objects from a flat surface. We quantitatively characterized hand posture behavior from a kinematic perspective, i.e., the hand joint angles, in both pre-shaping and during the interaction with the environment. To determine the role of tactile feedback, we repeated the same experiments but with subjects wearing a rigid shell on the fingertips to reduce cutaneous afferent inputs. Results show the persistence of at least two postural synergies in all the considered experimental conditions and phases. Tactile impairment does not alter significantly the first two synergies, and contact with the environment generates a change only for higher order Principal Components. A good match also arises between the first synergy found in our analysis and the first synergy of grasping as quantified by previous work. The present study is motivated by the interest of learning from the human example, extracting lessons that can be applied in robot design and control. Thus, we conclude with a discussion on implications for robotics of our findings. |
---|---|
AbstractList | Humans are able to intuitively exploit the object shape and environmental constraints to drive the hand in order to achieve stable grasps and perform dexterous manipulations. Despite the vast range of kinematic strategies employed by humans, in this work we consider and test the hypothesis that such ability can be described in terms of a synergistic behavior in the generation of hand postures, i.e. using a reduced set of commonly used kinematic patterns. To do that we performed experiments on six subjects, who were asked to grasp objects from a flat surface. We selected objects to encourage the purposeful exploitation of the surface. We quantitatively characterized hand posture behaviour from a kinematic perspective, i.e. providing hand joint angle reconstruction in both pre-shaping and during the interaction with the environment. To determine the role of tactile feedback, we repeated the same experiment but with subjects wearing a rigid shell on the fingertips to reduce cutaneous afferent inputs that would have been generated by direct contact between the fingerpad and the environment. Results show the persistence of a set of postural synergies among all the considered conditions, supporting the hypothesis. Specifically tactile impairment does not alter the first two synergies, while contact with the environment generates a change only for higher order synergies. A good match also arises between the first synergy found in our analysis and the first synergy of grasping as quantified by previous work. Implications for robotics of our findings are finally discussed. Humans are able to intuitively exploit the shape of an object and environmental constraints to achieve stable grasps and perform dexterous manipulations. In doing that, a vast range of kinematic strategies can be observed. However, in this work we formulate the hypothesis that such ability can be described in terms of a synergistic behavior in the generation of hand postures, i.e., using a reduced set of commonly used kinematic patterns. This is in analogy with previous studies showing the presence of such behavior in different tasks, such as grasping. We investigated this hypothesis in experiments performed by six subjects, who were asked to grasp objects from a flat surface. We quantitatively characterized hand posture behavior from a kinematic perspective, i.e., the hand joint angles, in both pre-shaping and during the interaction with the environment. To determine the role of tactile feedback, we repeated the same experiments but with subjects wearing a rigid shell on the fingertips to reduce cutaneous afferent inputs. Results show the persistence of at least two postural synergies in all the considered experimental conditions and phases. Tactile impairment does not alter significantly the first two synergies, and contact with the environment generates a change only for higher order Principal Components. A good match also arises between the first synergy found in our analysis and the first synergy of grasping as quantified by previous work. The present study is motivated by the interest of learning from the human example, extracting lessons that can be applied in robot design and control. Thus, we conclude with a discussion on implications for robotics of our findings.Humans are able to intuitively exploit the shape of an object and environmental constraints to achieve stable grasps and perform dexterous manipulations. In doing that, a vast range of kinematic strategies can be observed. However, in this work we formulate the hypothesis that such ability can be described in terms of a synergistic behavior in the generation of hand postures, i.e., using a reduced set of commonly used kinematic patterns. This is in analogy with previous studies showing the presence of such behavior in different tasks, such as grasping. We investigated this hypothesis in experiments performed by six subjects, who were asked to grasp objects from a flat surface. We quantitatively characterized hand posture behavior from a kinematic perspective, i.e., the hand joint angles, in both pre-shaping and during the interaction with the environment. To determine the role of tactile feedback, we repeated the same experiments but with subjects wearing a rigid shell on the fingertips to reduce cutaneous afferent inputs. Results show the persistence of at least two postural synergies in all the considered experimental conditions and phases. Tactile impairment does not alter significantly the first two synergies, and contact with the environment generates a change only for higher order Principal Components. A good match also arises between the first synergy found in our analysis and the first synergy of grasping as quantified by previous work. The present study is motivated by the interest of learning from the human example, extracting lessons that can be applied in robot design and control. Thus, we conclude with a discussion on implications for robotics of our findings. Humans are able to intuitively exploit the shape of an object and environmental constraints to achieve stable grasps and perform dexterous manipulations. In doing that, a vast range of kinematic strategies can be observed. However, in this work we formulate the hypothesis that such ability can be described in terms of a synergistic behavior in the generation of hand postures, i.e., using a reduced set of commonly used kinematic patterns. This is in analogy with previous studies showing the presence of such behavior in different tasks, such as grasping. We investigated this hypothesis in experiments performed by six subjects, who were asked to grasp objects from a flat surface. We quantitatively characterized hand posture behavior from a kinematic perspective, i.e., the hand joint angles, in both pre-shaping and during the interaction with the environment. To determine the role of tactile feedback, we repeated the same experiments but with subjects wearing a rigid shell on the fingertips to reduce cutaneous afferent inputs. Results show the persistence of at least two postural synergies in all the considered experimental conditions and phases. Tactile impairment does not alter significantly the first two synergies, and contact with the environment generates a change only for higher order Principal Components. A good match also arises between the first synergy found in our analysis and the first synergy of grasping as quantified by previous work. The present study is motivated by the interest of learning from the human example, extracting lessons that can be applied in robot design and control. Thus, we conclude with a discussion on implications for robotics of our findings. |
Author | Santello, Marco Ciotti, Simone Della Santina, Cosimo Averta, Giuseppe Arapi, Visar Bicchi, Antonio Fani, Simone Bianchi, Matteo Catalano, Manuel Giuseppe Battaglia, Edoardo |
AuthorAffiliation | 1 Centro E. Piaggio, University of Pisa , Pisa , Italy 2 ADVR, Fondazione Istituto Italiano di Tecnologia , Genoa , Italy 3 School of Biological and Health Systems Engineering, Ira A. Fulton Schools of Engineering, Arizona State University , Tempe, AZ , United States |
AuthorAffiliation_xml | – name: 3 School of Biological and Health Systems Engineering, Ira A. Fulton Schools of Engineering, Arizona State University , Tempe, AZ , United States – name: 1 Centro E. Piaggio, University of Pisa , Pisa , Italy – name: 2 ADVR, Fondazione Istituto Italiano di Tecnologia , Genoa , Italy |
Author_xml | – sequence: 1 givenname: Cosimo surname: Della Santina fullname: Della Santina, Cosimo – sequence: 2 givenname: Matteo surname: Bianchi fullname: Bianchi, Matteo – sequence: 3 givenname: Giuseppe surname: Averta fullname: Averta, Giuseppe – sequence: 4 givenname: Simone surname: Ciotti fullname: Ciotti, Simone – sequence: 5 givenname: Visar surname: Arapi fullname: Arapi, Visar – sequence: 6 givenname: Simone surname: Fani fullname: Fani, Simone – sequence: 7 givenname: Edoardo surname: Battaglia fullname: Battaglia, Edoardo – sequence: 8 givenname: Manuel Giuseppe surname: Catalano fullname: Catalano, Manuel Giuseppe – sequence: 9 givenname: Marco surname: Santello fullname: Santello, Marco – sequence: 10 givenname: Antonio surname: Bicchi fullname: Bicchi, Antonio |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28900393$$D View this record in MEDLINE/PubMed |
BookMark | eNp1kkuLFDEUhYOMOA_du5ICN266vUmqUslGkLbnAQMK6jqk8mjTVCdtkhqcf2_6MTIz4Crh5tyPk3vPOToJMViE3mKYU8rFRxeGWOYEcD8HgBa_QGeYMTLrCOYnj-6n6DznNQAjrOOv0CnhAoAKeoa-fIu5TEmNzbUKpvl-H2xaeZsbMyUfVs0y3PkUw8aGUjWLGHJJyofSLP9sx-iLKj6G1-ilU2O2b47nBfp5ufyxuJ7dfr26WXy-nelWQJlRDtYAIT1m1PQ9GTAlLatFTRRjSoteCV4t8-qSdc51bY9tLbSmdU4YSi_QzYFrolrLbfIble5lVF7uCzGtpErF69FK4WinDNaDFl3LBjNYBxprZzHjqlWisj4dWNtp2Fij6wfrFJ5An74E_0uu4p3sOo55zyrgwxGQ4u_J5iI3Pms7jirYOGWJBeUMehC8St8_k67jlEIdlSREtICxYKSq3j129M_Kw7KqgB0EOsWck3VSHxew28koMchdKuQ-FXKXCrlPRW2EZ40P7P-2_AVb9bss |
CitedBy_id | crossref_primary_10_1038_s41467_025_56352_5 crossref_primary_10_3389_fnbot_2018_00086 crossref_primary_10_1088_1748_3190_abe345 crossref_primary_10_1109_TNSRE_2019_2898469 crossref_primary_10_7717_peerj_6078 crossref_primary_10_1109_TCDS_2021_3110406 crossref_primary_10_3389_fnbot_2019_00026 crossref_primary_10_1109_LRA_2018_2829027 crossref_primary_10_1109_TRO_2018_2830407 crossref_primary_10_1038_s41598_023_47620_9 crossref_primary_10_1088_1757_899X_1261_1_012009 crossref_primary_10_1186_s12984_020_00741_y crossref_primary_10_3390_s21041049 crossref_primary_10_1089_soro_2021_0077 crossref_primary_10_1088_1741_2552_aba6db crossref_primary_10_1109_ACCESS_2022_3168674 crossref_primary_10_1109_ACCESS_2022_3203186 crossref_primary_10_3390_s21237897 crossref_primary_10_1038_s41597_019_0175_6 crossref_primary_10_1109_TNSRE_2020_2998642 crossref_primary_10_1177_0278364919883343 crossref_primary_10_1002_aisy_202200390 crossref_primary_10_1007_s12008_024_01773_7 crossref_primary_10_1126_scirobotics_abb0467 crossref_primary_10_1115_1_4064283 crossref_primary_10_1016_j_bbe_2024_01_006 crossref_primary_10_1038_s41598_023_36280_4 crossref_primary_10_1152_jn_00583_2020 crossref_primary_10_3389_fnbot_2019_00001 crossref_primary_10_1007_s10514_024_10182_4 crossref_primary_10_3389_frobt_2019_00047 crossref_primary_10_1007_s10055_024_01055_3 crossref_primary_10_1126_scirobotics_aau3098 crossref_primary_10_1109_TNSRE_2019_2918311 crossref_primary_10_1038_s41597_019_0349_2 crossref_primary_10_3390_app11073158 crossref_primary_10_1017_wtc_2021_3 crossref_primary_10_1142_S0219843621500171 |
Cites_doi | 10.1007/s002210050738 10.1007/978-3-642-29041-1_5 10.1007/s00221-006-0777-z 10.3389/fncom.2013.00023 10.1016/0010-0285(90)90009-s 10.1016/s1672-6529(14)60160-8 10.1038/5721 10.1152/jn.01310.2004 10.1093/acprof:oso/9780195333169.001.0001 10.1007/978-3-319-26706-7 10.1007/978-3-319-26706-7_3 10.1016/S0753-9053(86)80053-9 10.1523/JNEUROSCI.18-23-10105.1998 10.1080/01691864.2014.958534 10.1007/978-1-4612-6333-3 10.7554/eLife.13420 10.1007/978-1-4939-2736-4 10.1007/978-3-319-28872-7_23 10.1007/bf00236209 10.3389/fncom.2013.00043 10.1109/msp.2011.941097 10.1098/rstb.2011.0152 10.1523/JNEUROSCI.22-04-01426.2002 10.3389/fncom.2014.00020 10.1152/jn.2001.85.2.605 10.3389/fnbot.2016.00002 10.1007/bf00237997 10.1177/0278364913518998 10.1109/toh.2015.2482478 10.1093/brain/awh016 10.1007/s10514-011-9244-1 10.1123/mcj.11.3.276 10.1016/s0959-4388(99)00029-x 10.1523/jneurosci.4512-07.2008 10.1016/j.plrev.2016.02.001 10.1152/jn.2001.86.6.2896 |
ContentType | Journal Article |
Copyright | 2017. This work is licensed 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 © 2017 Della Santina, Bianchi, Averta, Ciotti, Arapi, Fani, Battaglia, Catalano, Santello and Bicchi. 2017 Della Santina, Bianchi, Averta, Ciotti, Arapi, Fani, Battaglia, Catalano, Santello and Bicchi |
Copyright_xml | – notice: 2017. This work is licensed 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. – notice: Copyright © 2017 Della Santina, Bianchi, Averta, Ciotti, Arapi, Fani, Battaglia, Catalano, Santello and Bicchi. 2017 Della Santina, Bianchi, Averta, Ciotti, Arapi, Fani, Battaglia, Catalano, Santello and Bicchi |
DBID | AAYXX CITATION NPM 3V. 7XB 88I 8FE 8FH 8FK ABUWG AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO GNUQQ HCIFZ LK8 M2P M7P PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS Q9U 7X8 5PM DOA |
DOI | 10.3389/fnbot.2017.00041 |
DatabaseName | CrossRef PubMed ProQuest Central (Corporate) ProQuest Central (purchase pre-March 2016) Science Database (Alumni Edition) ProQuest SciTech Collection ProQuest Natural Science Collection ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni Edition) ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Community College ProQuest Central Korea ProQuest Central Student SciTech Premium Collection Biological Sciences Science Database Biological Science Database ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) 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 PubMed Publicly Available Content Database ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Natural Science Collection ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences Natural Science Collection ProQuest Central Korea Biological Science Collection ProQuest Central (New) ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition Biological Science Database ProQuest SciTech Collection ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
DatabaseTitleList | Publicly Available Content Database MEDLINE - Academic PubMed |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
EISSN | 1662-5218 |
ExternalDocumentID | oai_doaj_org_article_9f35ad1cbc9546bdbef0c1cfe168a4a9 PMC5581876 28900393 10_3389_fnbot_2017_00041 |
Genre | Journal Article |
GeographicLocations | Italy |
GeographicLocations_xml | – name: Italy |
GrantInformation_xml | – fundername: European Research Council grantid: 291166 – fundername: National Science Foundation grantid: 1455866 – fundername: Horizon 2020 grantid: 645599, 688857 |
GroupedDBID | --- 29H 2WC 53G 5GY 5VS 88I 8FE 8FH 9T4 AAFWJ AAKPC AAYXX ABUWG ACGFS ACXDI ADBBV ADDVE ADMLS ADRAZ AEGXH AENEX AFKRA AFPKN ALMA_UNASSIGNED_HOLDINGS AOIJS ARCSS AZQEC BAWUL BBNVY BCNDV BENPR BHPHI BPHCQ CCPQU CITATION CS3 DIK DWQXO E3Z F5P GNUQQ GROUPED_DOAJ GX1 HCIFZ HYE KQ8 LK8 M2P M48 M7P M~E O5R O5S OK1 OVT PGMZT PHGZM PHGZT PIMPY PQQKQ PROAC RNS RPM TR2 C1A IPNFZ NPM PQGLB RIG 3V. 7XB 8FK PKEHL PQEST PQUKI PRINS Q9U 7X8 5PM PUEGO |
ID | FETCH-LOGICAL-c490t-380ed0227163d772b1324680ec2a66ac97a98662826565ff5471e8664d4ff9d33 |
IEDL.DBID | M48 |
ISSN | 1662-5218 |
IngestDate | Wed Aug 27 00:42:54 EDT 2025 Thu Aug 21 17:57:00 EDT 2025 Thu Jul 10 23:41:08 EDT 2025 Fri Jul 25 12:02:00 EDT 2025 Mon Jul 21 06:04:02 EDT 2025 Thu Apr 24 23:02:17 EDT 2025 Tue Jul 01 02:32:16 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Keywords | tactile perception environment constraint exploitation grasping human hand motor control postural synergies |
Language | English |
License | This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c490t-380ed0227163d772b1324680ec2a66ac97a98662826565ff5471e8664d4ff9d33 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Edited by: Ganesh R. Naik, Western Sydney University, Australia Reviewed by: Agnes Roby-Brami, Institut national de la santé et de la recherche médicale, France; Xiaosu Hu, University of Michigan, United States; Suparerk Janjarasjitt, Ubon Ratchathani University, Thailand |
OpenAccessLink | https://doaj.org/article/9f35ad1cbc9546bdbef0c1cfe168a4a9 |
PMID | 28900393 |
PQID | 2294011962 |
PQPubID | 4424403 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_9f35ad1cbc9546bdbef0c1cfe168a4a9 pubmedcentral_primary_oai_pubmedcentral_nih_gov_5581876 proquest_miscellaneous_1938607098 proquest_journals_2294011962 pubmed_primary_28900393 crossref_citationtrail_10_3389_fnbot_2017_00041 crossref_primary_10_3389_fnbot_2017_00041 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2017-08-29 |
PublicationDateYYYYMMDD | 2017-08-29 |
PublicationDate_xml | – month: 08 year: 2017 text: 2017-08-29 day: 29 |
PublicationDecade | 2010 |
PublicationPlace | Switzerland |
PublicationPlace_xml | – name: Switzerland – name: Lausanne |
PublicationTitle | Frontiers in neurorobotics |
PublicationTitleAlternate | Front Neurorobot |
PublicationYear | 2017 |
Publisher | Frontiers Research Foundation Frontiers Media S.A |
Publisher_xml | – name: Frontiers Research Foundation – name: Frontiers Media S.A |
References | Hogg (B23) 1995 Latash (B27) 2008 Saltiel (B40) 2001; 85 Naceri (B35) 2016 Tresch (B52) 1999; 2 Eppner (B15) 2015; 34 Puhlmann (B39) 2016 De Boor (B12) 1978 Serio (B48) 2014 Feldman (B16) 2015 Mussa-Ivaldi (B34) 1999; 9 Nowak (B36) 2004; 127 Fu (B17) 2010 Murray (B33) 1994 Malhotra (B31) 2012 Mason (B32) 2001; 86 Stratmann (B50) 2016; 10 Brown (B8) 2007 Gabiccini (B19) 2013 Leo (B30) 2016; 5 Amor (B2) 2012 Westling (B54) 1987; 66 Grinyagin (B21) 2005; 94 Jolliffe (B25) 2002 Bernstein (B4) 1967 Sircoulomb (B49) 2008 Villani (B53) 2012 Gabiccini (B18) 2011; 31 Santello (B41) 2013; 7 Schäling (B46) 2011 Santello (B43) 1998; 18 Piazza (B38) 2016 Santello (B42) 2016; 17 Scholz (B47) 1999; 126 Kapandji (B26) 1985; 5 Johansson (B24) 1984; 56 Thakur (B51) 2008; 28 Della Santina (B13) 2015 Alessandro (B1) 2013; 7 Lederman (B29) 1990; 22 Grioli (B22) 2012 Latash (B28) 2007; 11 Bicchi (B6) 2011; 366 Bianchi (B5) 2016 B11 Santello (B44) 2002; 22 Schafer (B45) 2011; 28 Battaglia (B3) 2016; 9 Bonilla (B7) 2014 Overduin (B37) 2014; 8 Catalano (B9) 2014; 33 Eppner (B14) 2015 Gorniak (B20) 2007; 179 Xu (B55) 2014; 28 Chen (B10) 2016; 13 |
References_xml | – volume-title: The Co-Ordination and Regulation of Movements year: 1967 ident: B4 – start-page: 1954 year: 2016 ident: B39 article-title: “A compact representation of human single-object grasping,” – volume: 126 start-page: 289 year: 1999 ident: B47 article-title: The uncontrolled manifold concept: identifying control variables for a functional task publication-title: Exp. Brain Res. doi: 10.1007/s002210050738 – start-page: 219 volume-title: Advanced Bimanual Manipulation year: 2012 ident: B53 article-title: “Grasping and control of multi-fingered hands,” doi: 10.1007/978-3-642-29041-1_5 – volume: 179 start-page: 167 year: 2007 ident: B20 article-title: Hierarchies of synergies: an example of two-hand, multi-finger tasks publication-title: Exp. Brain Res. doi: 10.1007/s00221-006-0777-z – volume: 7 start-page: 23 year: 2013 ident: B41 article-title: Neural bases of hand synergies publication-title: Front. Comput. Neurosci. doi: 10.3389/fncom.2013.00023 – volume-title: Introduction to Mathematical Statistics (5th edition) year: 1995 ident: B23 – volume: 22 start-page: 421 year: 1990 ident: B29 article-title: Haptic classification of common objects: knowledge-driven exploration publication-title: Cogn. Psychol. doi: 10.1016/0010-0285(90)90009-s – volume: 13 start-page: 59 year: 2016 ident: B10 article-title: On adaptive grasp with underactuated anthropomorphic hands publication-title: J. Bionic Eng. doi: 10.1016/s1672-6529(14)60160-8 – volume: 2 start-page: 162 year: 1999 ident: B52 article-title: The construction of movement by the spinal cord publication-title: Nat. Neurosci. doi: 10.1038/5721 – volume: 94 start-page: 2284 year: 2005 ident: B21 article-title: Kinematic and dynamic synergies of human precision-grip movements publication-title: J. Neurophysiol. doi: 10.1152/jn.01310.2004 – volume-title: Synergy year: 2008 ident: B27 doi: 10.1093/acprof:oso/9780195333169.001.0001 – volume-title: Human and Robot Hands: Sensorimotor Synergies to Bridge the Gap Between Neuroscience and Robotics year: 2016 ident: B5 doi: 10.1007/978-3-319-26706-7 – volume-title: A mathematical introduction to robotic manipulation year: 1994 ident: B33 – start-page: 29 volume-title: Human and Robot Hands year: 2016 ident: B35 article-title: “Digit position and force synergies during unconstrained grasping,” doi: 10.1007/978-3-319-26706-7_3 – volume: 5 start-page: 67 year: 1985 ident: B26 article-title: Clinical test of apposition and counter-apposition of the thumb publication-title: Ann. Chir. Main doi: 10.1016/S0753-9053(86)80053-9 – start-page: 1251 year: 2012 ident: B22 article-title: “Adaptive synergies: an approach to the design of under-actuated robotic hands,” – volume: 18 start-page: 10105 year: 1998 ident: B43 article-title: Postural hand synergies for tool use publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.18-23-10105.1998 – volume: 28 start-page: 1459 year: 2014 ident: B55 article-title: Design of an underactuated anthropomorphic hand with mechanically implemented postural synergies publication-title: Adv. Robot. doi: 10.1080/01691864.2014.958534 – volume-title: A Practical Guide to Splines year: 1978 ident: B12 doi: 10.1007/978-1-4612-6333-3 – volume: 5 start-page: e13420 year: 2016 ident: B30 article-title: A synergy-based hand control is encoded in human motor cortical areas publication-title: Elife doi: 10.7554/eLife.13420 – year: 2015 ident: B16 article-title: “Referent control of action and perception,” doi: 10.1007/978-1-4939-2736-4 – start-page: 1 year: 2014 ident: B48 article-title: “[d94] the tactile toolbox,” – volume: 34 start-page: 1021 year: 2015 ident: B15 article-title: Exploitation of environmental constraints in human and robotic grasping publication-title: Int. J. Robot. Res. doi: 10.1007/978-3-319-28872-7_23 – volume: 66 start-page: 128 year: 1987 ident: B54 article-title: Responses in glabrous skin mechanoreceptors during precision grip in humans publication-title: Exp. Brain Res. doi: 10.1007/bf00236209 – start-page: 3516 year: 2016 ident: B38 article-title: “Softhand pro-d: matching dynamic content of natural user commands with hand embodiment for enhanced prosthesis control,” – volume: 7 start-page: 43 year: 2013 ident: B1 article-title: Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives publication-title: Front. Comput. Neurosci. doi: 10.3389/fncom.2013.00043 – volume: 28 start-page: 111 year: 2011 ident: B45 article-title: What is a savitzky-golay filter? publication-title: IEEE Sig. Process. Mag. doi: 10.1109/msp.2011.941097 – volume: 366 start-page: 3153 year: 2011 ident: B6 article-title: Modelling natural and artificial hands with synergies publication-title: Philos. Trans. R. Soc. Lond. B Biol. Sci. doi: 10.1098/rstb.2011.0152 – volume: 22 start-page: 1426 year: 2002 ident: B44 article-title: Patterns of hand motion during grasping and the influence of sensory guidance publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.22-04-01426.2002 – volume: 8 start-page: 20 year: 2014 ident: B37 article-title: Muscle synergies evoked by microstimulation are preferentially encoded during behavior publication-title: Front. Comput. Neurosci. doi: 10.3389/fncom.2014.00020 – start-page: 5117 year: 2012 ident: B31 article-title: “Reduced dimensionality control for the act hand,” – volume-title: The boost C++ libraries year: 2011 ident: B46 – volume: 85 start-page: 605 year: 2001 ident: B40 article-title: Muscle synergies encoded within the spinal cord: evidence from focal intraspinal NMDA iontophoresis in the frog publication-title: J. Neurophysiol. doi: 10.1152/jn.2001.85.2.605 – start-page: 2877 year: 2007 ident: B8 article-title: “Inter-finger coordination and postural synergies in robot hands via mechanical implementation of principal components analysis,” – volume: 10 year: 2016 ident: B50 article-title: Neuromodulation and synaptic plasticity for the control of fast periodic movement: energy efficiency in coupled compliant joints via PCA publication-title: Front. Neurorobot. doi: 10.3389/fnbot.2016.00002 – volume: 56 start-page: 550 year: 1984 ident: B24 article-title: Roles of glabrous skin receptors and sensorimotor memory in automatic control of precision grip when lifting rougher or more slippery objects publication-title: Exp. Brain Res. doi: 10.1007/bf00237997 – volume: 33 start-page: 768 year: 2014 ident: B9 article-title: Adaptive synergies for the design and control of the pisa/iit softhand publication-title: Int. J. Robot. Res. doi: 10.1177/0278364913518998 – volume: 9 start-page: 121 year: 2016 ident: B3 article-title: Thimblesense: a fingertip-wearable tactile sensor for grasp analysis publication-title: IEEE Trans. Haptics doi: 10.1109/toh.2015.2482478 – volume: 127 start-page: 182 year: 2004 ident: B36 article-title: How predictive is grip force control in the complete absence of somatosensory feedback? publication-title: Brain doi: 10.1093/brain/awh016 – start-page: 1669 year: 2008 ident: B49 article-title: “State estimation under nonlinear state inequality constraints. a tracking application,” – volume: 31 start-page: 235 year: 2011 ident: B18 article-title: On the role of hand synergies in the optimal choice of grasping forces publication-title: Auton. Robots doi: 10.1007/s10514-011-9244-1 – volume-title: Principal Component Analysis year: 2002 ident: B25 – start-page: 4606 year: 2010 ident: B17 article-title: “Tracking whole hand kinematics using extended kalman filter,” – ident: B11 – start-page: 2043 year: 2012 ident: B2 article-title: “Generalization of human grasping for multi-fingered robot hands,” – volume: 11 start-page: 276 year: 2007 ident: B28 article-title: Toward a new theory of motor synergies publication-title: Motor Control doi: 10.1123/mcj.11.3.276 – start-page: 581 year: 2014 ident: B7 article-title: “Grasping with soft hands,” – start-page: 3738 year: 2013 ident: B19 article-title: “A data-driven kinematic model of the human hand with soft-tissue artifact compensation mechanism for grasp synergy analysis,” – start-page: 497 year: 2015 ident: B13 article-title: “Dexterity augmentation on a synergistic hand: the pisa/iit softhand+,” – start-page: 4947 year: 2015 ident: B14 article-title: “Planning grasp strategies that exploit environmental constraints,” – volume: 9 start-page: 713 year: 1999 ident: B34 article-title: Modular features of motor control and learning publication-title: Curr. Opin. Neurobiol. doi: 10.1016/s0959-4388(99)00029-x – volume: 28 start-page: 1271 year: 2008 ident: B51 article-title: Multidigit movement synergies of the human hand in an unconstrained haptic exploration task publication-title: J. Neurosci. doi: 10.1523/jneurosci.4512-07.2008 – volume: 17 start-page: 1 year: 2016 ident: B42 article-title: Hand synergies: integration of robotics and neuroscience for understanding the control of biological and artificial hands publication-title: Phys. Life Rev. doi: 10.1016/j.plrev.2016.02.001 – volume: 86 start-page: 2896 year: 2001 ident: B32 article-title: Hand synergies during reach-to-grasp publication-title: J. Neurophysiol. doi: 10.1152/jn.2001.86.6.2896 |
SSID | ssj0062658 |
Score | 2.3173363 |
Snippet | Humans are able to intuitively exploit the shape of an object and environmental constraints to achieve stable grasps and perform dexterous manipulations. In... Humans are able to intuitively exploit the object shape and environmental constraints to drive the hand in order to achieve stable grasps and perform dexterous... |
SourceID | doaj pubmedcentral proquest pubmed crossref |
SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
StartPage | 41 |
SubjectTerms | Automation environment constraint exploitation Exploitation Fingerpad grasping Hand Hands human hand motor control International conferences Nervous system Neuroscience Neurosciences postural synergies Posture Robotics Sensory neurons Spinal cord tactile perception |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8QwEB7Ekx7Et_VFBS8eyvaRps3R17IIetEFbyFPFKQr7nrw3zuTdtddEb146SFJYTqZJN90Mt8AnDqnKkT1NmG54_goWKLS1CWprguVCeGrEC64veODIbt5LB_nSn3RnbCWHrhVXE_4olQ2M9qIknFttfOpyYx3Ga8VUyF1D8-8qTPV7sGI0su6DUqiCyZ6vtEjujiZBb5Cli0cQoGr_yeA-f2e5NzB01-HtQ4xxuetpBuw5JpNWJ3jEdyCKyq5S_wZ8UA1Nr7_oIQ-dIHjNgkxvv7KZsMxVKMzVIaYxOEGXsfSvQ3D_vXD5SDpyiMkhol0khR16iwxACKksgiSNTqWjGOjyRXnyohKiZpz9KkQs5Xel3gOOWxglnkvbFHswHIzatwexMxqhjhRo9YMYw69Yl3oCl0NXJ6WMx1Bb6ovaTqpSNAXiT4EaVgGDUvSsAwajuBs9sZry5vxy9gLmoLZOGK8Dg1oB7KzA_mXHURwOJ1A2S3DscxzwYjUjucRnMy6cQFRVEQ1bvQ-lohga44bn6gj2G3neyYJRWEpeTmCasESFkRd7GmenwJJd1kiFKr4_n982wGskLboV3YuDmF58vbujhALTfRxMPtPgncJ_g priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LT9wwEB61y6U9IKAPAkuVSr30EG0ejhOfEI9FK6Siqi0SN8vPUqlKgF0O_HtmHO_CVhWXHGxHGs3Y42889jcAX5xTDaJ6m7HScfxULFN57rJct5UqhPBNSBd8u-CzS3Z-VV_FA7d5vFa59InBUdve0Bn5pCwFI34yXh7e3GZUNYqyq7GExmvYQBfcYvC1cTy9-P5j6YsRrdftkJzEUExMfKd7ukBZBN5CVqxtRoGz_39A89_7ks82oLMt2IzIMT0aTL0Nr1y3A2-f8Qm-g1MqvUs8GulMdTb9-UAP-zAUTofHiOn06VUbjqFanaFCxCINN_EiW_d7uDyb_jqZZbFMQmaYyBdZ1ebOEhMgQiuLYFljgMk4NppSca6MaJRoOcfYCrFb7X2N-5HDBmaZ98JW1QcYdX3ndiFlVjPEixq1ZhhzGB3rSjcYcuAytZzpBCZLfUkTpSJB_0qMJUjDMmhYkoZl0HACX1d_3Az8GS-MPSYTrMYR83Vo6O9-y7iQpPBVrWxhtBE149pq53NTGO8K3iqmRALjpQFlXI5z-TR5Evi86saFRNkR1bn-fi4RybYcHaBoE_g42HslCWVj6RFzAs3aTFgTdb2n-3MdyLrrGiFRw_deFmsf3pAe6LC6FGMYLe7u3QGinYX-FKf0I2IGAOM priority: 102 providerName: ProQuest |
Title | Postural Hand Synergies during Environmental Constraint Exploitation |
URI | https://www.ncbi.nlm.nih.gov/pubmed/28900393 https://www.proquest.com/docview/2294011962 https://www.proquest.com/docview/1938607098 https://pubmed.ncbi.nlm.nih.gov/PMC5581876 https://doaj.org/article/9f35ad1cbc9546bdbef0c1cfe168a4a9 |
Volume | 11 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT9wwEB4huLQH1NIHaekqSFw4BPJwnPhQVaUsrJBAVctKe7P8hEoo2y6LVP59Z5xsYNGq4pKD4yTW2JP5xuP5BmDPOVUhqrcJyx3HS8ESlaYuSXVdqEwIX4VwwfkFH43Z2aScPKRHdwK8XenaUT2p8ezm4O-f-y-o8J_J40R7e-gbPaVjkVlgI6Qs9g20SxWp6TnrYwqI3EO1zoxzcr-yug1arnzDkpEKXP6rAOjTc5SPDNPJK9jsEGX8tV0Cr2HNNVvw8hHP4Bs4ppK8xK8Rj1Rj45_3lPCHLnLcJinGw4dsN-xDNTxD5Yh5HE7odSzeb2F8Mrz8Nkq68gmJYSKdJ0WdOksMgQi5LIJojY4n49hocsW5MqJSokZhoIOBqM77Eu2UwwZmmffCFsU7WG-mjduGmFnNEEdqlKBhzKHXrAtdoSuC6ms50xEcLuQlTTcqGuiNRB-DJCyDhCVJWAYJR7DfP_G75dX4T98jmoK-HzFih4bp7Ep2CiaFL0plM6ONKBnXVjufmsx4l_FaMSUi2FlMoFysMpnnghHpHc8j2O1vo4JR1EQ1bnp3KxHh1hx_jKKO4H073_1IKEpLyc0RVEsrYWmoy3eaX9eBxLssESpV_MMzvvsRXpAwaCc7FzuwPp_duU8IheZ6ABtHw4vvPwZhKwGvp5NsEFb9PxrZCpU |
linkProvider | Scholars Portal |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB5V2wNwQLwJFAgSHDhEm4fjxAeEKN1qS9sVglbqzfgJlaqkdLdC_VP8RmacZNtFqLdecnAcaTQeT77P45kBeOOcqhDV24TljuOjYIlKU5ekui5UJoSvQrhgf8anh-zzUXm0Bn-GXBi6Vjn4xOCobWvojHyc54JRfTKefzj9lVDXKIquDi00OrPYdRe_kbLN3-9s4fq-zfPtycGnadJ3FUgME-kiKerUWSqch0jEIrbUyMcYx0GTK86VEZUSNedIRRDqlN6X6L4dDjDLvBeWDkDR5a-zAqnMCNY3J7MvXwffj-ygrLtgKFI_MfaNbunCZhbqJLJs5ecXegT8D9j-ez_zyg9v-x7c7ZFq_LEzrfuw5poHcOdK_cKHsEWtfqluRzxVjY2_XVAiIVLvuEt-jCeXWXQ4h3qDho4Uizjc_Ourgz-CwxtR4GMYNW3jnkLMrGaITzVqzTDmkI3rQldIcdAtWM50BONBX9L0UpGgJxK5C2lYBg1L0rAMGo7g3fKL065exzVzN2kJlvOo0nYYaM9-yH7jSuGLUtnMaCNKxrXVzqcmM95lvFZMiQg2hgWU_fafy0tjjeD18jVuXIrGqMa153OJyLnm6HBFHcGTbr2XklD0l5KmI6hWLGFF1NU3zfHPUBy8LBGCVfzZ9WK9glvTg_09ubcz230Ot0kndFCeiw0YLc7O3QtEWgv9sjfvGL7f9I76CzinOx4 |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB5VWwnBAfEmUCBIcOAQbR6OEx8QouyuthRWFVCpN-MnIKGkdLdC_Wv8OmacZNtFqLde9uB4JWs8Hn-f5wXwwjlVIaq3Ccsdx5-CJSpNXZLqulCZEL4K7oKPCz4_ZO-PyqMt-DPkwlBY5WATg6G2raE38nGeC0b1yXg-9n1YxMFk9ub4V0IdpMjTOrTT6FRk3539Rvq2fL03wb1-meez6Zd386TvMJAYJtJVUtSps1RED1GJRZypkZsxjoMmV5wrIyolas6RliDsKb0v0ZQ7HGCWeS8sPYai-d-ukBWlI9jenS4OPg33ADKFsu4co0gDxdg3uqXgzSzUTGTZxkUY-gX8D-T-G6t54fKb3YKbPWqN33Zqdhu2XHMHblyoZXgXJtT2l2p4xHPV2PjzGSUVIg2Pu0TIeHqeUYdzqE9o6E6xikMUYF8p_B4cXokA78OoaRv3EGJmNUOsqlFqhjGHzFwXukK6gybCcqYjGA_ykqZfFS30p0QeQxKWQcKSJCyDhCN4tf7HcVe745K5u7QF63lUdTsMtCffZH-IpfBFqWxmtBEl49pq51OTGe8yXiumRAQ7wwbK3hQs5bniRvB8_RkPMXlmVOPa06VEFF1z1CFRR_Cg2-_1SsgTTAnUEVQbmrCx1M0vzY_voVB4WSIcq_ijy5f1DK7hSZIf9hb7j-E6iYTezHOxA6PVyal7gqBrpZ_22h3D16s-UH8B0HM_Uw |
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=Postural+Hand+Synergies+during+Environmental+Constraint+Exploitation&rft.jtitle=Frontiers+in+neurorobotics&rft.au=Della+Santina%2C+Cosimo&rft.au=Bianchi%2C+Matteo&rft.au=Averta%2C+Giuseppe&rft.au=Ciotti%2C+Simone&rft.date=2017-08-29&rft.issn=1662-5218&rft.eissn=1662-5218&rft.volume=11&rft.spage=41&rft_id=info:doi/10.3389%2Ffnbot.2017.00041&rft.externalDBID=NO_FULL_TEXT |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1662-5218&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1662-5218&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1662-5218&client=summon |