Wireless Patrol Sign-In System with Mental Fatigue Detection
Joint Authors
Ching, Congo Tak-Shing
Xu, Hao-Chen
Liu, Shing-Hong
Chang, Kang-Ming
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Current sign-in methods of patrolling security guards mainly comprise signature, image identification, and fingerprint identification; notably, none of these methods indicate the physical and mental conditions of such guards.
In particular, when patrolling security guards perform their duties consecutively for a long period of time, adequate attention should be directed toward their levels of mental fatigue.
When a handwriting sign-in system is adopted, security guards may not record their sign-in time accurately, or they may fake signatures during long shifts.
In addition, image identification systems cannot comprehensively reflect the physical and mental statuses of on-duty security guards, particularly their levels of fatigue.
Monitor fatigue in patrolling security guards is important to avoid burnout and stress in the workplace.
Therefore, in this study, a patrolling sign-in system that integrates physiological signals and images was designed.
A thermometer, hand dynamometer, and electromyography sensor were combined to measure physiological signals.
Results showed that hand grip strength and the median frequency of electromyography signals gradually reduced when muscle fatigue occurred.
The system determined whether a security guard had signed in punctually and whether this person should stay on duty.
Overall, this system was verified to operate effectively, and it is therefore applicable for monitoring the sign-in of patrolling security guards who work long shifts.
This case series study proposed a conceptual prototype of the system; large-scale testing should be performed in subsequent research.
American Psychological Association (APA)
Chang, Kang-Ming& Xu, Hao-Chen& Ching, Congo Tak-Shing& Liu, Shing-Hong. 2018. Wireless Patrol Sign-In System with Mental Fatigue Detection. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1187503
Modern Language Association (MLA)
Chang, Kang-Ming…[et al.]. Wireless Patrol Sign-In System with Mental Fatigue Detection. Journal of Healthcare Engineering No. 2018 (2018), pp.1-6.
https://search.emarefa.net/detail/BIM-1187503
American Medical Association (AMA)
Chang, Kang-Ming& Xu, Hao-Chen& Ching, Congo Tak-Shing& Liu, Shing-Hong. Wireless Patrol Sign-In System with Mental Fatigue Detection. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1187503
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187503