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A Classification and Visualization System for Lower-Limb Activities Analysis With Musculoskeletal Modeling

Zheng, Jianian
http://rave.ohiolink.edu/etdc/view?acc_num=case1586094993458825

Abstract Details

2020, Master of Sciences, Case Western Reserve University, EECS - Computer and Information Sciences.
Lower-limb activities are frequently performed in human's daily life. In this paper, a classification and visualization system for lower-limb activity analysis is proposed. Different types of lower-limb activities can be monitored and analyzed, including muscle activities, locomotion modes, and balance control ability. The system contains three parts: data acquisition, modeling, and visualization. Wearable Gait Lab system (WGL) and Balance Test system are used to collect plantar pressure data and acceleration data. A reinforcement learning model is trained to imitate the walking patterns of the subject on the musculoskeletal model, which can help to analyze the muscle activities when the subject is walking. The plantar pressure data collected from Wearable Gait Lab were used to recognize the locomotion modes of the subjects. Balance control ability can also be successfully assessed based on a balance parameter, Center of Pressure (CoP), in balance tests. Balance control ability between able-bodied subjects and amputees are compared. The experiments show the promising and stable performance of walk imitation and locomotion modes recognition. Weaker balance control on the amputee can also be found compared to able-bodied subjects. Muscle activities, locomotion modes, and balance control are useful information in preventing injuries and secondary impairments.
Ming-Chun Huang (Committee Chair)
An Wang (Committee Member)
Shuai Xu (Committee Member)
60 p.
Computer Science
Locomotion Analysis, Musculoskeletal Model, Reinforcement Learning, Wearable Sensors

Recommended Citations

Citations

  • Zheng, J. (2020). A Classification and Visualization System for Lower-Limb Activities Analysis With Musculoskeletal Modeling [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1586094993458825

    APA Style (7th edition)

  • Zheng, Jianian. A Classification and Visualization System for Lower-Limb Activities Analysis With Musculoskeletal Modeling. 2020. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1586094993458825.

    MLA Style (8th edition)

  • Zheng, Jianian. "A Classification and Visualization System for Lower-Limb Activities Analysis With Musculoskeletal Modeling." Master's thesis, Case Western Reserve University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1586094993458825

    Chicago Manual of Style (17th edition)

case1586094993458825
253
© 2020, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.