Wireless Patrol Sign-In System with Mental Fatigue Detection
المؤلفون المشاركون
Ching, Congo Tak-Shing
Xu, Hao-Chen
Liu, Shing-Hong
Chang, Kang-Ming
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-11-12
دولة النشر
مصر
عدد الصفحات
6
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1187503
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر