Title :
Contactless measurement of muscles fatigue by tracking facial feature points in a video
Author :
Irani, Ramin ; Nasrollahi, Kamal ; Moeslund, Thomas B.
Author_Institution :
Visual Anal. of People Lab., Aalborg Univ. (AAU), Aalborg, Denmark
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.
Keywords :
computer vision; face recognition; feature extraction; gait analysis; medical image processing; muscle; object detection; object tracking; video signal processing; EMG; computer vision techniques; contactless measurement; electromyography; facial feature point detection; facial feature point tracking; muscle fatigue; muscle tiredness; physical exercise; remote patient monitoring; Electromyography; Face; Fatigue; Indexes; Muscles; Testing; Trajectory; Electromyography; Facial Feature Detection and Tracking; Fatigue; Tiredness;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025849