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Mimicking Motion of Lower Limb Using Gait Analysis on Test Track

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dc.contributor.author Sponsoring DS: Dr. Mohsin Tiwana Sir. Umer Aslam, Syed M Abdullah Shah Tirmizi
dc.date.accessioned 2025-03-06T10:51:20Z
dc.date.available 2025-03-06T10:51:20Z
dc.date.issued 2021
dc.identifier.other DE-MTS-39
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/50698
dc.description Sponsoring DS: Dr. Mohsin Tiwana Sir. Umer Aslam en_US
dc.description.abstract Gait analysis based on video cameras and the instrumented treadmill is an inexpensive, convenient, and efficient manner of providing useful information for multiple health-related applications. As a clinical tool applied in the rehabilitation and diagnosis of medical conditions and sport activities, gait analysis shows great prospects. The techniques of digital video and digital image processing such as template matching, sub-pixel, motion estimate, etc., are employed to identify and trace the markers. The current paper reviews available techniques for gait analysis methods. After an introduction of the gait phases, the principles and features of gait cycles used in gait analysis are provided. The gait analysis methods are divided into gait kinematics, gait kinetics, and electromyography. Studies on the current methods are reviewed, and applications in sports, rehabilitation, and clinical diagnosis are summarized separately. With the development of sensor technology and the analysis method, gait analysis is expected to play an increasingly important role in clinical applications en_US
dc.language.iso en en_US
dc.publisher College of Electrical & Mechanical Engineering (CEME), NUST en_US
dc.title Mimicking Motion of Lower Limb Using Gait Analysis on Test Track en_US
dc.type Project Report en_US


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