End-User Programming Architecture for Physical Movement Assessment: An Interactive Machine Learning Approach - researchr publication authors

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Jessica M. Palomares-Pecho, Greis Francy M. Silva-Calpa, César A. Sierra Franco, Alberto Barbosa Raposo. End-User Programming Architecture for Physical Movement Assessment: An Interactive Machine Learning Approach. In Vincent G. Duffy, editor, Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health - 11th International Conference, DHM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19-24, 2020, Proceedings, Part I. Volume 12198 of Lecture Notes in Computer Science, pages 335-348, Springer, 2020. [doi]

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