NDLI: Contactless measurement of muscles fatigue by tracking facial feature points in a video

Content Provider	IEEE Xplore Digital Library
Author	Irani, Ramin Nasrollahi, Kamal Moeslund, Thomas B.
Copyright Year	2014
Description	Author affiliation: Visual Analysis of People Laboratory, Aalborg University (AAU) Sofiendalsvej 11, 9200 Aalborg, Denmark (Irani, Ramin; Nasrollahi, Kamal; Moeslund, Thomas B.)
Abstract	Physical exercise may result in muscle tiredness which is known as muscle fatigue. This occurs when the muscles cannot exert normal force, or when more than normal effort is required. Fatigue is a vital sign, for example, for therapists to assess their patient's progress or to change their exercises when the level of the fatigue might be dangerous for the patients. The current technology for measuring tiredness, like Electromyography (EMG), requires installing some sensors on the body. In some applications, like remote patient monitoring, this however might not be possible. To deal with such cases, in this paper we present a contactless method based on computer vision techniques to measure tiredness by detecting, tracking, and analyzing some facial feature points during the exercise. Experimental results on several test subjects and comparing them against ground truth data show that the proposed system can properly find the temporal point of tiredness of the muscles when the test subjects are doing physical exercises.
Starting Page	4181
Ending Page	4185
File Size	322617
Page Count	5
File Format	PDF
ISBN	9781479957514
DOI	10.1109/ICIP.2014.7025849
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fatigue Muscles Trajectory Electromyography Indexes Testing Face Facial Feature Detection and Tracking Tiredness
Content Type	Text
Resource Type	Article

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