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

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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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.
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing (ICIP)
Number of pages5
PublisherIEEE Signal Processing Society
Publication date27 Oct 2014
ISBN (Print)978-1-4799-5751-4
DOIs
Publication statusPublished - 27 Oct 2014
EventIEEE International Conference on Image Processing (ICIP) - Paris, France
Duration: 27 Oct 201430 Oct 2014

Conference

ConferenceIEEE International Conference on Image Processing (ICIP)
CountryFrance
CityParis
Period27/10/201430/10/2014

Fingerprint

Muscle
Fatigue of materials
Remote patient monitoring
Electromyography
Computer vision
Sensors

Keywords

  • Fatigue
  • Facial Feature Detection and Tracking
  • Tiredness
  • Electromyography

Cite this

Irani, Ramin ; Nasrollahi, Kamal ; Moeslund, Thomas B. / Contactless measurement of muscles fatigue by tracking facial feature points in a video. IEEE International Conference on Image Processing (ICIP). IEEE Signal Processing Society, 2014.
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Irani, R, Nasrollahi, K & Moeslund, TB 2014, Contactless measurement of muscles fatigue by tracking facial feature points in a video. in IEEE International Conference on Image Processing (ICIP). IEEE Signal Processing Society, IEEE International Conference on Image Processing (ICIP), Paris, France, 27/10/2014. https://doi.org/10.1109/ICIP.2014.7025849

Contactless measurement of muscles fatigue by tracking facial feature points in a video. / Irani, Ramin; Nasrollahi, Kamal; Moeslund, Thomas B.

IEEE International Conference on Image Processing (ICIP). IEEE Signal Processing Society, 2014.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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