Imaging Facial Physiology for the Detection of Deceit
International Journal of Computer Vision
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
IEEE Transactions on Affective Computing
Cost-effective solution to synchronised audio-visual data capture using multiple sensors
Image and Vision Computing
Benchmark Driven Framework for Development of Emotion Sensing Support Systems
EISIC '12 Proceedings of the 2012 European Intelligence and Security Informatics Conference
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We present a new noninvasive multi-sensor capturing system for recording video, sound and motion data. The characteristic of the system is its 1msec. order accuracy hardware level synchronization among all the sensors as well as automatic extraction of variety of ground truth from the data. The proposed system enables the analysis of the correlation between variety of psychophysiological model (modalities), such as facial expression, body temperature changes, gaze analysis etc... . Following benchmarks driven framework principles, the data captured by our system is used to establish benchmarks for evaluation of the algorithms involved in the automatic emotions recognition process.