Human pose estimation for physiotherapy following a car accident using depth-wise separable convolutional neural networks

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TannouryetAl_165-178.pdf

Tannoury, A. Chouem, E.M. Darazi, Rony [UCL]

Document type	Article de périodique (Journal article) – Article de recherche
Access type	Accès libre
Publication date	2023
Language	Anglais
Journal information	"Advances in Transportation Studies" - Vol. 59, p. 165-178 (2023)
Peer reviewed	yes
Publication status	Publié
Affiliations	UCL - SST/ICTM - Institute of Information and Communication Technologies, Electronics and Applied Mathematics UCL - SST/ICTM/ELEN - Pôle en ingénierie électrique
Links	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151131698&doi=10.53136%2f979122180582610&partnerID=40&md5=b2b2f6cbd0d45378f4c08436deb2bfbf https://doi.org/10.53136/979122180582610[DOI] http://hdl.handle.net/2078.1/283565[Handle]

Bibliographic reference	Tannoury, A. ; Chouem, E.M. ; Darazi, Rony. Human pose estimation for physiotherapy following a car accident using depth-wise separable convolutional neural networks. In: Advances in Transportation Studies, Vol. 59, p. 165-178 (2023)
Permanent URL	http://hdl.handle.net/2078.1/283565