Low-invasive Neurophysiological Evaluation of Human Emotional State on Teleworkers

Vincenzo Ronca, Vincenzo Ronca, Gianluca Di Flumeri, Gianluca Di Flumeri, Andrea Giorgi, Alessia Vozzi, Alessia Vozzi, Pietro Aricò, Pietro Aricò, Nicolina Sciaraffa, Nicolina Sciaraffa, Luca Tamborra, Luca Tamborra, Luca Tamborra, Ilaria Simonetti, Ilaria Simonetti, Ilaria Simonetti, Antonello Di Florio, Fabio Babiloni, Fabio Babiloni, Fabio Babiloni, Gianluca Borghini, Gianluca Borghini

2021

Abstract

Human emotions decoding and assessment is a hot research topic since its implications would be relevant in a huge set of clinical and social applications. Current emotion recognition and evaluation approaches are usually based on interactions between a “patient” and a “specialist”. However, this methodology is intrinsically affected by subjective biases and lack of objectiveness. Recent advancements in neuroscience enable the use of traditional biosensors and maybe commercial wearable devices, which lead to a certain grade of invasiveness for the subject. The proposed study explored an innovative low-invasive hybrid method, based on the use of video data and smart bracelet, to overcome such technological limitations. In particular, we investigated the capability of an Emotional Index (EI), computed by combining the Heart Rate (HR) and the Skin Conductance Level (SCL) estimated through video-based and wearable technology, in discriminating Positive and Negative emotional state during interactive webcalls. The results revealed that the computed EI significantly increased during the Positive condition compared to the Negative one (p = 0.0008) and the Baseline (p = 0.003). Such evidences were confirmed by the subjective data and the classification performance parameters. In this regard, the EI discriminated between two emotional states with an accuracy of 79.4%.

Paper Citation

in Harvard Style

Ronca V., Di Flumeri G., Giorgi A., Vozzi A., Aricò P., Sciaraffa N., Tamborra L., Simonetti I., Di Florio A., Babiloni F. and Borghini G. (2021). Low-invasive Neurophysiological Evaluation of Human Emotional State on Teleworkers. In Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: SmartWork; ISBN 978-989-758-534-0, SciTePress, pages 427-434. DOI: 10.5220/0010726700003063

in Bibtex Style

@conference{smartwork21,
author={Vincenzo Ronca and Gianluca Di Flumeri and Andrea Giorgi and Alessia Vozzi and Pietro Aricò and Nicolina Sciaraffa and Luca Tamborra and Ilaria Simonetti and Antonello Di Florio and Fabio Babiloni and Gianluca Borghini},
title={Low-invasive Neurophysiological Evaluation of Human Emotional State on Teleworkers},
booktitle={Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: SmartWork},
year={2021},
pages={427-434},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010726700003063},
isbn={978-989-758-534-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: SmartWork
TI - Low-invasive Neurophysiological Evaluation of Human Emotional State on Teleworkers
SN - 978-989-758-534-0
AU - Ronca V.
AU - Di Flumeri G.
AU - Giorgi A.
AU - Vozzi A.
AU - Aricò P.
AU - Sciaraffa N.
AU - Tamborra L.
AU - Simonetti I.
AU - Di Florio A.
AU - Babiloni F.
AU - Borghini G.
PY - 2021
SP - 427
EP - 434
DO - 10.5220/0010726700003063
PB - SciTePress