IMPECT-POSE: A Complete Front-end and Back-end Architecture for Pose Tracking and Feedback-Reference-Cited by-同舟云学术

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IMPECT-POSE: A Complete Front-end and Back-end Architecture for Pose Tracking and Feedback

Published:2024-06-27 Issue: Volume:12 Page:142-147
ISSN:
Container-title:Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
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Author:

Samanta Abhishek¹^ORCID,Kotte Hitesh²^ORCID,Handwerk Patrick³^ORCID,Asyraaf Mat Sanusi Khaleel³^ORCID,Geisen Mai⁴^ORCID,Kravcik Milos⁵^ORCID,Duong-Trung Nghia⁵^ORCID

Affiliation:

1. Education technology Lab, DFKI-German Research Center for AI, Germany and Saarland University, Germany

2. Computer Science, Educational Technology Lab, German Research Center for Artificial Intelligence (DFKI), Germany

3. Cologne Game Lab, TH Köln, Germany

4. Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Germany

5. Educational Technology Lab, German Research Center for Artificial Intelligence (DFKI), Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3631700.3664865

Reference27 articles.

1. YouMove

2. Fabio Buttussi, Luca Chittaro, and Daniele Nadalutti. 2006. Bringing Mobile Guides and Fitness Activities Together: A Solution Based on an Embodied Virtual Trainer(MobileHCI ’06). Association for Computing Machinery, New York, NY, USA, 29–36.

3. Augmented Intelligence in Tutoring Systems: A Case Study in Real-Time Pose Tracking to Enhance the Self-learning of Fitness Exercises

4. Application of Augmented Intelligence Technology with Human Body Tracking for Human Anatomy Education

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