A Wearable System for Electrodermal Activity Data Acquisition in Collective Experience Assessment

Patrícia Bota, Chen Wang, Ana Fred, Hugo Silva

2020

Abstract

In the recent years, we have been observing an increase of research work involving the use of biomedical data in affective computing applications, which is ever more dependent on data and its quality. Many physiological data acquisition devices have been developed and validated. However, there is still a need for pervasive and unobtrusive equipment for collective synchronised acquisitions. In this work, we introduce a novel system, the Electrodermal Activity (EDA) Xinhua Net Future Media Convergence Institute (FMCI) device, allowing group data acquisitions, and benchmark its performance using the established BITalino as gold standard. We developed a methodical experimental protocol in order to acquire data from the two devices simultaneously, and analyse their performance over a comprehensive set of criteria – Data Quality Analysis. Additionally, the FMCI data quality is assessed over five different setup scenarios towards its validation in a real-world scenario – Data Loss Analysis. The experimental results show a close similarity between the data collected by both devices, paving the way for the application of the proposed equipment in simultaneous, collective data acquisition use cases.

Paper Citation

in Harvard Style

Bota P., Wang C., Fred A. and Silva H. (2020). A Wearable System for Electrodermal Activity Data Acquisition in Collective Experience Assessment.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-423-7, pages 606-613. DOI: 10.5220/0009816906060613

in Bibtex Style

@conference{iceis20,
author={Patrícia Bota and Chen Wang and Ana Fred and Hugo Silva},
title={A Wearable System for Electrodermal Activity Data Acquisition in Collective Experience Assessment},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2020},
pages={606-613},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009816906060613},
isbn={978-989-758-423-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A Wearable System for Electrodermal Activity Data Acquisition in Collective Experience Assessment
SN - 978-989-758-423-7
AU - Bota P.
AU - Wang C.
AU - Fred A.
AU - Silva H.
PY - 2020
SP - 606
EP - 613
DO - 10.5220/0009816906060613