ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
Wearable and automotive systems for affect recognition from physiology
Wearable and automotive systems for affect recognition from physiology
Analysis of emotion recognition using facial expressions, speech and multimodal information
Proceedings of the 6th international conference on Multimodal interfaces
Using noninvasive wearable computers to recognize human emotions from physiological signals
EURASIP Journal on Applied Signal Processing
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Emotion recognition using the emotiv EPOC device
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
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Although many emotion recognition methods have been developed, monitoring a driver's emotions during driving is still a challenge because some special requirements must be met. This study begins with the classification of emotion, and then proceeds to emotion recognition. In particular, this study presents the applications of blood volume pressure, skin conductance, skin temperature, gripping force, respiration rate, and facial expression in emotion recognition. Experiments are designed and carried out to find the mapping relation among heart rate, skin conductance, and skin temperature to two kinds of emotions: fear and amusement. The experimental results demonstrate the feasibility of using the selected physiological parameters to monitor drivers' emotions.