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

Publikation: Forskning - peer reviewKonferenceartikel i proceeding

Abstrakt

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.
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Detaljer

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.
OriginalsprogEngelsk
TitelIEEE International Conference on Image Processing (ICIP)
Antal sider5
ForlagIEEE Signal Processing Society
Publikationsdato27 okt. 2014
ISBN (Trykt)978-1-4799-5751-4
DOI
StatusUdgivet - 27 okt. 2014
PublikationsartForskning
Peer reviewJa
BegivenhedIEEE International Conference on Image Processing (ICIP) - Paris, Frankrig
Varighed: 27 okt. 201430 okt. 2014

Konference

KonferenceIEEE International Conference on Image Processing (ICIP)
LandFrankrig
ByParis
Periode27/10/201430/10/2014

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