Sensor-less sensing for affective computing and stress management technology

Authors:
Pablo Paredes;David Sun;John Canny
Affiliations:
Electrical Engineering and Computer, UC Berkeley;Electrical Engineering and Computer, UC Berkeley;Electrical Engineering and Computer, UC Berkeley
Venue:
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
Year:
2013

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Abstract

This paper describes our vision on what should be the research around sensing and adaptive interventions to make affective computing and stress management technology pervasive and unobtrusive. With the use of common computer peripherals and mobile computing devices as affect sensors, personalized and adaptive intervention technologies can be developed. Furthermore, physiological sensing can be performed without the introduction of extraneous factors such as wearable devices or focused software. Different methods for sensing and complementary adaptable interventions and interactions are described and proposed. We show initial lab evidence of the use of a computer mouse in the detection of stress.