Affective computing
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Gazing and frowning as a new human--computer interaction technique
ACM Transactions on Applied Perception (TAP)
Person-independent estimation of emotional experiences from facial expressions
Proceedings of the 10th international conference on Intelligent user interfaces
Emotions and heart rate while sitting on a chair
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Real-time estimation of emotional experiences from facial expressions
Interacting with Computers
Facial Activation Control Effect (FACE)
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
| Hi-index | 0.00 |
Continuously measured physiological signals have the potential to act as non-invasive, real time indicators of human psychophysiological phenomena. Recently, several non-intrusive, wireless, and discrete measurement devices have been developed. For these reasons, there has been growing interest for using physiological signals for estimating emotions and other psychological processes during human-computer interaction. In the current work, we present the first steps towards constructing a person-independent online system that automatically identifies heart rate responses and estimates subjective experiences during voluntary facial activations. The preliminary results of our study showed that voluntarily produced facial expressions had an effect on subjective emotional experiences and physiological processes. Further, our results suggest that heart rate responses to facial activations can be detected and classified in order to support more accurate and efficient emotion detection.