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Detecting Gait Changes with Front-Facing Video and MediaPipe: A Hemiplegic Patient Case Study

Authors:
Yasutaka Uchida
Tomoko Funayama
Eiichi Ohkubo
Daisuke Souma
Yoshiaki Kogure

Keywords: MediaPipe; rehabilitation evaluation; skelton analysi; digital health; walking analysis; front-facing recorded video.

Abstract:
Obtaining numerical skeletal data is a crucial method for objectively evaluating a patient's walking condition. Using MediaPipe, we evaluated data from the early stage of rehabilitation of a hemiplegic patient and five weeks later, using images taken from the front, where the area of the imaging facility is less restricted. We attempted to reduce spatial uncertainty owing to the influence of distance by measuring and evaluating changes in the height of the left and right ankles normalized by waist width, inclination of the shoulders, width between the toes and heels, and width between the left and right elbows. We proposed a method for detecting changes in the gait of patients undergoing rehabilitation. By applying this proposal, changes in gait could be determined.

Pages: 10 to 15

Copyright: Copyright (c) IARIA, 2024

Publication date: September 29, 2024

Published in: conference

ISSN: 2308-4553

ISBN: 978-1-68558-189-3

Location: Venice, Italy

Dates: from September 29, 2024 to October 3, 2024