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

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.