Comparison of Wearable and Computer Vision Based Approaches to Knee Flexion Angle Measurement-Reference-Cited by-同舟云学术

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Comparison of Wearable and Computer Vision Based Approaches to Knee Flexion Angle Measurement

Published:2023-05-31 Issue: Volume: Page:
ISSN:
Container-title:2023 IST-Africa Conference (IST-Africa)
language:
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Author:

Gitau Antony¹,Kulankash Victor²,Wanjema Gachathi³,Maina Ciira Wa¹

Affiliation:

1. Dedan Kimathi University of Technology. P.O. BOX - PRIVATE BAG,Centre for Data Science and Artificial Intelligence,Dedan Kimathi - Nyeri,Kenya,10143

2. Kenyatta University,BSc Biomedical Engineering,Dept of Electrical & Electronic Engineering,Nairobi,Kenya

3. Dedan Kimathi University of Technology,School of Health Sciences,Nyeri,Kenya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10187719/10187748/10187816.pdf?arnumber=10187816

Reference17 articles.

1. Mediapipe: A framework for building perception pipelines;lugaresi;arXiv preprint arXiv 1906 08424,2019

2. Introducing the Nvidia jetson nano;allan;Hackster io,2018

3. Reliability, Concurrent Validity, and Minimal Detectable Change for iPhone Goniometer App in Assessing Knee Range of Motion;mehta;Amer J Knee Surg,2017

4. Microsoft coco: Common objects in context;lin;European Conference on Computer Vision,2014

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