Research Article
Feasibility of a low-cost platform for physiological recording in affective computing applications
@INPROCEEDINGS{10.4108/eai.28-9-2015.2261525, author={Hamed Monkaresi and Rafael Calvo}, title={Feasibility of a low-cost platform for physiological recording in affective computing applications}, proceedings={10th EAI International Conference on Body Area Networks}, publisher={ACM}, proceedings_a={BODYNETS}, year={2015}, month={12}, keywords={electrocardiogram (ecg) do-it-yourself (diy) affect detection portable devices}, doi={10.4108/eai.28-9-2015.2261525} }- Hamed Monkaresi
Rafael Calvo
Year: 2015
Feasibility of a low-cost platform for physiological recording in affective computing applications
BODYNETS
ICST
DOI: 10.4108/eai.28-9-2015.2261525
Abstract
Physiological signals provide valuable information about human physical and mental states. For decades, sophisticated equipment has been used to measure them in health and psychological applications. More recently a variety of low-cost portable electronic devices and smart-phone applications are being used to measure physiological signals. The accuracy of these devices has not been evaluated in medical or practical affective computing applications. In this article, we evaluate a low-cost, Do-It-Yourself, and open-source device that can measure multiple physiological signals. The accuracy of this platform in measuring ECG signals has been examined and compared with a commercial psychophysiology system. In addition, we evaluate the feasibility of using this platform in affective computing applications.
