Light-Weight Seated Posture Guidance System with Machine Learning and Computer Vision-Reference-Cited by-同舟云学术

Light-Weight Seated Posture Guidance System with Machine Learning and Computer Vision

Published:2022-06-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments
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Author:

Kapoor Rithik¹,Jaiswal Ashish¹,Makedon Fillia¹

Affiliation:

1. The University of Texas at Arlington, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3529190.3535341

Reference28 articles.

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2. Musculoskeletal symptoms and their associated risk factors among Saudi office workers: a cross-sectional study

3. An Intelligent Action Recognition System to assess Cognitive Behavior for Executive Function Disorder

4. Valentin Bazarevsky , Ivan Grishchenko , Karthik Raveendran , Tyler Zhu , Fan Zhang , and Matthias Grundmann . 2020 . Blazepose: On-device real-time body pose tracking. arXiv preprint arXiv:2006.10204(2020). Valentin Bazarevsky, Ivan Grishchenko, Karthik Raveendran, Tyler Zhu, Fan Zhang, and Matthias Grundmann. 2020. Blazepose: On-device real-time body pose tracking. arXiv preprint arXiv:2006.10204(2020).

5. Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields

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