10th EAI International Conference on Body Area Networks

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
Hamed Monkaresi1,*, Rafael Calvo2
  • 1: Research Assistant
  • 2: Professor
*Contact email: hamed.monkaresi@sydney.edu.au

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.