Non-contact video-based remote photoplethysmography for human stress detection
Authors:
- Sergii Nikolaiev,
- Sergii Telenyk,
- Yury Tymoshenko
Abstract
This paper presents the experimental results for stress index calculation using developed by the authors information technology for non-contact remote human heart rate variability (HRV) retrieval in various conditions from video stream using common wide spread web cameras with minimal frame resolution of 640x480 pixels at average frame rate of 25 frames per second. The developed system architecture based on remote photoplethysmography (rPPG) technology is overviewed including description of all its main components and processes involved in converting video stream of frames into valuable rPPG signal. Also, algorithm of RR-peaks detection and RR-intervals retrieval is described. It is capable to detect 99.3% of heart contractions from raw rPPG signal. The usecases of measuring stress index in a wide variety of situations starting with car and tractor drivers at work research and finishing with students passing exams are presented and analyzed in detail. The results of the experiments have shown that the rPPG system is capable of retrieving stress level that is in accordance with the feelings of experiments’ participants.
- Record ID
- CUTf82a3634d690495fb5f1cd0bdc22faac
- Publication categories
- ;
- Author
- Journal series
- Journal of Automation, Mobile Robotics and Intelligent Systems, ISSN 1897-8649, e-ISSN 2080-2145
- Issue year
- 2020
- Vol
- 14
- No
- 2
- Pages
- 63-73
- Other elements of collation
- fot.; wykr.; Bibliografia (na s.) - 71-73; Bibliografia (liczba pozycji) - 30; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 14, No. 2
- Keywords in English
- video processing, web cameras, stress index, remote photoplethysmography, rPPG, heart rate, heart rate variability, predictive, preventive, personalized and participatory medicine
- DOI
- DOI:10.14313/JAMRIS/2-2020/21 Opening in a new tab
- URL
- http://www.jamris.org/archive/68-issue-2-2020 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 70
- Additional fields
- Indeksowana w: Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTf82a3634d690495fb5f1cd0bdc22faac/
- URN
urn:pkr-prod:CUTf82a3634d690495fb5f1cd0bdc22faac
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.