Keystroke dynamics as a biometric for authentication
Future Generation Computer Systems - Special issue on security on the Web
Physical disabilities and computing technologies: an analysis of impairments
The human-computer interaction handbook
HCI challenges in health assessment
CHI '05 Extended Abstracts on Human Factors in Computing Systems
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Unobtrusive monitoring of computer interactions to detect cognitive status in elders
IEEE Transactions on Information Technology in Biomedicine
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Monitoring of cognitive and physical function is central to the care of people experiencing or at risk for various health conditions, but existing solutions rely on intrusive methods that are inadequate for continuous tracking. This research explores the possibility of detecting cognitive and physical stress by monitoring keyboard interactions with the eventual goal of detecting acute or chronic changes in cognitive and physical function. Preliminary results indicate that it is possible to classify cognitive and physical stress conditions relative to non-stress conditions based on keystroke and text features with accuracy rates comparable to those currently obtained using affective computing methods. The proposed approach is attractive because it requires no additional hardware, is unobtrusive, is adaptable to each user, and is very low-cost.