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Markerless Motion Capture and Analysis System to Enhance Exercise Professional Effectiveness: Preliminary Study

Hanson, Andrew Todd
http://rave.ohiolink.edu/etdc/view?acc_num=akron1481223866357858

Abstract Details

2016, Master of Science, University of Akron, Physical Education-Exercise Physiology/Adult Fitness.
The Microsoft Kinect camera is a markerless motion capture and analysis system that offers tremendous promise for advancing the health and wellness services industry. Health and wellness providers can utilize such devices to improve the quality of care. However, the potential for the Kinect to be implemented for use in the health and wellness industry is still limited due to its reliability and validity in the domain of exercise error detection. The purpose of this investigation was to explore how the Kinect camera could be used to enhance exercise professionals ability to design and monitor interventions to improve wellness. Ten experienced exercisers performed three exercises (body squat, reverse lunge, chair step-up) for 2 sets at 30 seconds per set. The exercise performances were recorded and analyzed by a single Microsoft Kinect camera and an experienced exercise professional. The participants were provided with no instruction or verbal feedback during the exercise performances. The quantitative data was collected by the Kinect and the qualitative data was collected by the exercise professional. Analysis of the joint location data from the Kinect camera demonstrated that the system is best suited to detect finer details and non-intuitive parameters such as precise joint angles imbalances, and synchrony that the exercise professional cannot readily detect. The exercise professional outperformed the Kinect camera in detection of non-joint related movements such as muscle recruitment, performer fatigue, gaze, and overall performer comfort. These results demonstrate the promise of systems such as the Kinect camera to enhance services provided by health and wellness professions.
Judith Juvancic-Heltzel (Advisor)
Shivakumar Sastry (Advisor)
Laura Richardson (Committee Member)
129 p.
Computer Science; Health; Health Sciences
markless; kinect; microsoft; camera; exercise; fitness; professional; exercise performance; exercise recording; Kinect camera recording; non-invasive camera; vicon

Recommended Citations

Citations

  • Hanson, A. T. (2016). Markerless Motion Capture and Analysis System to Enhance Exercise Professional Effectiveness: Preliminary Study [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1481223866357858

    APA Style (7th edition)

  • Hanson, Andrew. Markerless Motion Capture and Analysis System to Enhance Exercise Professional Effectiveness: Preliminary Study. 2016. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1481223866357858.

    MLA Style (8th edition)

  • Hanson, Andrew. "Markerless Motion Capture and Analysis System to Enhance Exercise Professional Effectiveness: Preliminary Study." Master's thesis, University of Akron, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1481223866357858

    Chicago Manual of Style (17th edition)

akron1481223866357858
692
© 2016, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.