StressCam: non-contact measurement of users' emotional states through thermal imaging
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Visual learning of texture descriptors for facial expression recognition in thermal imagery
Computer Vision and Image Understanding
ACM Transactions on Applied Perception (TAP)
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
IEEE Transactions on Affective Computing
IEEE Transactions on Multimedia
Are you cool enough for Texas Hold'Em Poker?
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
"FaceLight": potentials and drawbacks of thermal imaging to infer driver stress
Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Eye localization from thermal infrared images
Pattern Recognition
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In this paper, an emotion recognition from facial temporal sequence has been proposed. Firstly, the temperature difference histogram features and five statistical features are extracted from the facial temperature difference matrix of each difference frame in the data sequences. Then the discrete Hidden Markov Models are used as the classifier for each feature. In which, a feature selection strategy based on the recognition results in the training set is introduced. Finally, the results of the experiments on the samples of the USTC-NVIE database demonstrate the effectiveness of our method. Besides, the experiment results also demonstrate that the temperature information of the forehead is more useful than that of the other regions in emotion recognition and understanding, which is consistent with some related research results.