Automatic detection of passing and shooting in water polo using machine learning: a feasibility study-Reference-Cited by-同舟云学术

Automatic detection of passing and shooting in water polo using machine learning: a feasibility study

Author:

Croteau Félix¹²³^ORCID,Thénault Francois⁴^ORCID,Blain-Moraes Stefanie¹^ORCID,Pearsall David J⁵^ORCID,Paradelo David³,Robbins Shawn M¹⁶^ORCID

Affiliation:

1. School of Physical and Occupational Therapy, McGill University, Montreal, QC, Canada

2. Sports Medicine, Institut National du Sport du Québec, Montreal, QC, Canada

3. Senior national teams, Water Polo Canada, Montreal, QC, Canada

4. Kinanthropology, Université de Sherbrooke, Sherbrooke, QC, Canada

5. Department of Kinesiology and Physical Education, McGill University, Montreal, QC, Canada

6. Centre for Interdisciplinary Research in Rehabilitation, Layton-Lethbridge-MacKay Rehabilitation Centre, Montreal, QC, Canada

Funder

This work was supported by the Ministère de l'Éducation du Québec and Research, Innovation and Dissemination of Information Program

Publisher

Informa UK Limited

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

Link

Reference36 articles.

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