Stress Detection of Children With ASD Using Physiological Signals Fizyolojik Sinyaller Kullanilarak Otizmli Çocuklarda Stres Tanima

Aktas S. N. B., ULUER P., Coskun B., Toprak E., Barkana D. E., Köse H., ...More

30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Turkey, 15 - 18 May 2022 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu55565.2022.9864668
  • City: Safranbolu
  • Country: Turkey
  • Keywords: autism, child-robot interaction, physiological signals, stress
  • Galatasaray University Affiliated: Yes

Abstract

© 2022 IEEE.This paper proposes a physiological signal-based stress detection approach for children with autism spectrum disorder (ASD) to be used in social and assistive robot intervention. Electrodermal activity (EDA) and blood volume pulse (BVP) signals are collected with an E4 smart wristband from children with ASD in different countries. The peak count and signal amplitude features are derived from EDA signal and used in order to detect the stress of children based on the previously provided reference baselines. Furthermore, a comparison has been made with the stress values determined using low frequency (LF) and high frequency (HF) values extracted from BVP signal.