NEURAL NETWORK TO IDENTIFY KEY POINTS OF THE HUMAN POSE IN PHYSIOTHERAPY REHABILITATION OF GAIT
REGISTRO DOI: 10.5281/zenodo.8044461 R. B. Sanchez1,2,3,4, J. C. L. Fernandes1,4, M. A. Bissaco¹, S. R. M. S. Boschi¹, T. A. Scardovelli¹, A. P. da Silva¹, S. C. Martini¹ This work proposes a digital system with cloud neural network with video acquisition to obtain key points of the human pose in patients undergoing physiotherapy rehabilitation of lower limbs in gait mobility, allowing agility in the records, minimizing m […]
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