Ten lectures on wavelets
Multimodal Face Recognition: Combination of Geometry with Physiological Information
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
IEEE Intelligent Systems
EHAWC '09 Proceedings of the International Conference on Ergonomics and Health Aspects of Work with Computers: Held as Part of HCI International 2009
Non-intrusive physiological monitoring for automated stress detection in human-computer interaction
HCI'07 Proceedings of the 2007 IEEE international conference on Human-computer interaction
Laser Doppler vibrometry measures of physiological function: evaluation of biometric capabilities
IEEE Transactions on Information Forensics and Security
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Remotely detecting the physiological state of humans is becoming increasingly important for rehabilitative robotics (RR) and socially assistive robotics (SAR) because it makes robots better-suited to work more closely and more cooperatively with humans. This research delivers a new non-contact technique for detecting heart rate in real time using a high precision, single-point infrared sensor. The proposed approach is an important potential improvement over existing methods because it collects heart rate information unencumbered by biofeedback sensors, complex computational processing or high cost equipment. We use a thermal infrared sensor to capture subtle changes in the sub-nasal skin surface temperature to monitor cardiac pulse. This study extends our previous research in which breathing rate is automatically extracted using the same hardware. Experiments conducted to test the proposed system accuracy show that in 72.7% of typical cases heart rate was successfully detected within 0-9 beats per minute as measured by root-mean-square error.