Augmented Intelligence in Tutoring Systems: A Case Study in Real-Time Pose Tracking to Enhance the Self-learning of Fitness Exercises-Reference-Cited by-同舟云学术

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

Published:2023 Issue: Volume: Page:705-710
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Duong-Trung Nghia^ORCID,Kotte Hitesh^ORCID,Kravčík Miloš^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-42682-7_65

Reference11 articles.

1. Di Mitri, D., Schneider, J., Limbu, B., Mat Sanusi, K.A., Klemke, R.: Multimodal learning experience for deliberate practice. In: Giannakos, M., Spikol, D., Di Mitri, D., Sharma, K., Ochoa, X., Hammad, R. (eds) The Multimodal Learning Analytics Handbook. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-08076-0_8

2. Fajrianti, E.D., et al.: Application of augmented intelligence technology with human body tracking for human anatomy education. IJIET: Int. J. Inf. Educ. Technol. 12(6), 476–484 (2022)

3. Farrokhi, A., Farahbakhsh, R., Rezazadeh, J., Minerva, R.: Application of internet of things and artificial intelligence for smart fitness: a survey. Comput. Netw. 189, 107859 (2021)

4. Graßmann, C., Schermuly, C.C.: Coaching with artificial intelligence: concepts and capabilities. Hum. Resour. Dev. Rev. 20(1), 106–126 (2021)

5. Kim, J., Davis, T., Hong, L.: Augmented intelligence: enhancing human decision making. In: Albert, M.V., Lin, L., Spector, M.J., Dunn, L.S. (eds) Bridging Human Intelligence and Artificial Intelligence. Educational Communications and Technology: Issues and Innovations. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-84729-6_10

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. IMPECT-POSE: A Complete Front-end and Back-end Architecture for Pose Tracking and Feedback;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27

2. FitSight: Tracking and Feedback Engine for Personalized Fitness Training;Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-22

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