Research Article
Sensor-less Sensing for Affective Computing and Stress Management Technology
@INPROCEEDINGS{10.4108/icst.pervasivehealth.2013.252380, author={Pablo Paredes and Sun David and Canny John}, title={Sensor-less Sensing for Affective Computing and Stress Management Technology}, proceedings={3rd International Workshop on Pervasive Computing Paradigms for Mental Health}, publisher={IEEE}, proceedings_a={MINDCARE}, year={2013}, month={5}, keywords={unintrusive sensing affective computing pervasive mental health physiological measurements mental states mobile devices psychological stress bio sensors activity sensors}, doi={10.4108/icst.pervasivehealth.2013.252380} }- Pablo Paredes
Sun David
Canny John
Year: 2013
Sensor-less Sensing for Affective Computing and Stress Management Technology
MINDCARE
IEEE
DOI: 10.4108/icst.pervasivehealth.2013.252380
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.
Copyright © 2013–2024 ICST
