Low Cost Wearable Sensor for Human Emotion Recognition Using Skin Conductance Response

Malaysia is one of the countries with the highest car crash fatality rates in Asia. The high implementation cost of in-vehicle driver behavior warning system and autonomous driving remains a significant challenge. Motivated by the large number of simple yet effective inventions that benefitted many...

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Bibliographic Details
Published inIEICE Transactions on Information and Systems Vol. E100.D; no. 12; pp. 3010 - 3017
Main Authors MINHAD, Khairun Nisa', OOI, Jonathan Shi Khai, ALI, Sawal Hamid MD, REAZ, Mamun IBNE, AHMAD, Siti Anom
Format Journal Article
LanguageEnglish
Published Tokyo The Institute of Electronics, Information and Communication Engineers 01.01.2017
Japan Science and Technology Agency
Subjects
Biomarkers
Developing countries
Driver behavior
electrodermal activity
Emotion recognition
Fatalities
Inventions
LDCs
Low cost
power spectral density
process stimuli
Resistance
skin conductance response
Statistical analysis
Stimulators
Traffic accidents
Traffic accidents & safety
Warning systems
Wearable technology
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Summary:Malaysia is one of the countries with the highest car crash fatality rates in Asia. The high implementation cost of in-vehicle driver behavior warning system and autonomous driving remains a significant challenge. Motivated by the large number of simple yet effective inventions that benefitted many developing countries, this study presents the findings of emotion recognition based on skin conductance response using a low-cost wearable sensor. Emotions were evoked by presenting the proposed display stimulus and driving stimulator. Meaningful power spectral density was extracted from the filtered signal. Experimental protocols and frameworks were established to reduce the complexity of the emotion elicitation process. The proof of concept in this work demonstrated the high accuracy of two-class and multiclass emotion classification results. Significant differences of features were identified using statistical analysis. This work is one of the most easy-to-use protocols and frameworks, but has high potential to be used as biomarker in intelligent automobile, which helps prevent accidents and saves lives through its simplicity.
ISSN:0916-8532
1745-1361
DOI:10.1587/transinf.2017EDP7067