CURRENT STATUS AND FUTURE RESEARCH
DIRECTIONS IN MONITORING VIGILANCE OF
INDIVIDUAL OR MASS AUDIENCE IN MONOTONOUS
WORKING ENVIRONMENT
B. F. Momin1 and Parag P. Abhyankar2
1Department of Computer Engg., WCE, Sangli, India
bfmomin@yahoo.com
2Department of Information Technology, Finolex Academy, Ratnagiri, India
paragabhyankar15@gmail.com
ABSTRACT
Working in monotonous environment often causes lack of concentration or fatigue in an operator and many
times such non-vigilance leads to accidents. Therefore early detection of fatigued state has become
essential in monotonous working environments like driving vehicle, operating machines etc. Such fatigued
state often gets developed gradually and can be identified by certain symptoms. Different types of symptoms
help in modelling non-vigilance in different ways. This paper reviews and compares current status of
research in modelling fatigue where fatigue is modelled using probabilistic models, machine learning
models, finite state machine etc. The paper also presents possible future research directions in the same
field like identifying non-fatigue non-vigilance mental states, extending non-vigilance monitoring for mass
audience etc.
KEYWORDS
Vigilance Monitoring, Fatigue Modelling, Physiological, Behavioural and Visual Measure, Machine
Learning.
ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/3211ijsc04.pdf
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