FitSight: Tracking and Feedback Engine for Personalized Fitness Training-Reference-Cited by-同舟云学术

FitSight: Tracking and Feedback Engine for Personalized Fitness Training

Published:2024-06-22 Issue: Volume:12 Page:223-231
ISSN:
Container-title:Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
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Author:

Kotte Hitesh¹^ORCID,Daiber Florian²^ORCID,Kravcik Milos³^ORCID,Duong-Trung Nghia⁴^ORCID

Affiliation:

1. Computer Science, DFKI Berlin, Germany

2. COS, DFKI Saarbrucken, Germany

3. Educational Technology Lab, DFKI GmbH, Germany

4. Educational Technology Lab, German Research Centre for Artificial Intelligence, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3627043.3659547

Reference29 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. Nghia Duong-Trung Hitesh Kotte and Miloš Kravčík. 2023. Augmented Intelligence in Tutoring Systems: A Case Study in Real-Time Pose Tracking to Enhance the Self-learning of Fitness Exercises. In Responsive and Sustainable Educational Futures Olga Viberg Ioana Jivet Pedro J. Muñoz-Merino Maria Perifanou and Tina Papathoma (Eds.). Springer Nature Switzerland Cham 705–710.

4. Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors

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