Home // ACHI 2019, The Twelfth International Conference on Advances in Computer-Human Interactions // View article

Stress Detection of Human Using Heart Rate Variability Analysis Based on Low Cost Camera

Authors:
Tafsut Tagnithammou
Antoine Ferszterowski
Lambert Trénoras
Eric Monacelli

Keywords: Vision; Stress; Photoplethysmography; Neural network; SVM; K-NN

Abstract:
The article presents a non-contact solution to a stress detection. Computer human interfaces must be able to consider human’s emotions. Being able to detect a stressful situation has several applications: Secure and assist Computer -Human Interfaces, telemedicine, driving assistance. This capacity allows to detect the user’s state and improve the interface ‘s performance. We proposed a method based on a stress classification system with a sensor in contact and we compared with different classification methods based on sensors in contact. Our solution is based on a facial analysis obtained by image processing.

Pages: 108 to 116

Copyright: Copyright (c) IARIA, 2019

Publication date: February 24, 2019

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-686-6

Location: Athens, Greece

Dates: from February 24, 2019 to February 28, 2019