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Authors: Patrícia Bota 1 ; Chen Wang 2 ; Ana Fred 1 and Hugo Silva 1

Affiliations: 1 Instituto Superior Técnico, Department of Bioengineering & Instituto de Telecomunicações, Av. Rovisco Pais n. 1, Torre Norte - Piso 10, 1049-001 Lisboa, Portugal ; 2 Future Media & Convergence Institute (FMCI), Xinhua Net, Jinxuan Building, No. 129 Xuanwumen West Street, Beijing 100031, China

Keyword(s): Electrodermal Activity Response, Wearable Sensors, Physiological Data, Signal Processing.

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. (More)

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Paper citation in several formats:
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; ISSN 2184-4992, SciTePress, pages 606-613. DOI: 10.5220/0009816906060613

@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},
issn={2184-4992},
}

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
IS - 2184-4992
AU - Bota, P.
AU - Wang, C.
AU - Fred, A.
AU - Silva, H.
PY - 2020
SP - 606
EP - 613
DO - 10.5220/0009816906060613
PB - SciTePress