A physiological signal database of children with different special needs for stress recognition

Autor: Buket Coşkun, Sevket Ay, Duygun Erol Barkana, Hilal Bostanci, İsmail Uzun, Ayse Betul Oktay, Basak Tuncel, Devrim Tarakci
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Scientific Data, Vol 10, Iss 1, Pp 1-10 (2023)
Druh dokumentu: article
ISSN: 2052-4463
DOI: 10.1038/s41597-023-02272-2
Popis: Abstract This study presents a new dataset AKTIVES for evaluating the methods for stress detection and game reaction using physiological signals. We collected data from 25 children with obstetric brachial plexus injury, dyslexia, and intellectual disabilities, and typically developed children during game therapy. A wristband was used to record physiological data (blood volume pulse (BVP), electrodermal activity (EDA), and skin temperature (ST)). Furthermore, the facial expressions of children were recorded. Three experts watched the children’s videos, and physiological data is labeled “Stress/No Stress” and “Reaction/No Reaction”, according to the videos. The technical validation supported high-quality signals and showed consistency between the experts.
Databáze: Directory of Open Access Journals