Enhancing motion tracking accuracy of a low-cost 3D video sensor using a biomechanical model, sensor fusion, and deep learning

Low-cost 3D video sensors equipped with routines for extracting skeleton data facilitate the widespread use of virtual reality (VR) for rehabilitation. However, the accuracy of the extracted skeleton data is often limited. Accuracy can be improved using a motion tracker, e.g., using a recurrent neur...

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Detalles Bibliográficos
Autores principales: Agami, Shahar, Riemer, Raziel, Berman, Sigal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Rehabilitation Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9397931/
https://www.ncbi.nlm.nih.gov/pubmed/36188943
http://dx.doi.org/10.3389/fresc.2022.956381

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9397931/
https://www.ncbi.nlm.nih.gov/pubmed/36188943
http://dx.doi.org/10.3389/fresc.2022.956381

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