Imaging Facial Physiology for the Detection of Deceit
International Journal of Computer Vision
Visual learning of texture descriptors for facial expression recognition in thermal imagery
Computer Vision and Image Understanding
A novel method to monitor driver's distractions
CHI '10 Extended Abstracts on Human Factors in Computing Systems
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
Emotion recognition using hidden Markov models from facial temperature sequence
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
IEEE Transactions on Multimedia
A data set of real world driving to assess driver workload
Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
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Driving a modern vehicle is a complex, cognitive demanding task involving concentrated observation of the road, roadside, car status, information displays of assistance systems, etc. Drivers are conscious about this overabundance of information, nevertheless, they are operating tertiary controls, talking on the phone, smoking cigarettes, having lunch, reading maps or meeting agendas, or working on their computer. As a consequence -- caused by visual/manual/cognitive demand and limited multitasking capabilities-- precarious driving situations are created. Solutions are rare but badly needed to prevent imminent danger on the roads. To explore the potential of thermal imaging to infer mental conditions of the driver in an unobtrusive manner, and to use this information to automatically react to a detected risky state, we have developed the "FaceLight" prototype and performed a lab-based driving simulator study to evaluate the interface under conditions of varying workload. With "FaceLight" the driver can be interpreted as sort of signal light, with a 'red face' (hot surface temperature) standing for high stress or cognitive demand while a 'green face' (cooler temperature) equals to a more relaxed, stress-free mental state. Initial results have revealed that this technology has potential to capture shifts in the mental state of an individual in an inattentive manner, but highlighted also that a lot of influencing factors still need to be incorporated to reliably recognize a specific state solely based on facial skin temperature.