Evaluation of a motion capture system without physical markers based on deep learning for the biomechanical study of the turtle “lepidochelys olivácea”
DOI:
https://doi.org/10.51660/ripie.v2i2.75Keywords:
Biomechanics, Motion Capture System, Artificial IntelligenceAbstract
The biomechanics of a species can tell us behavioral and movement variables. Ideally, if we can take advantage of the normal movement of the animal, it would generate immense solutions to know and characterize the species. For this it is necessary to generate a motion capture system more affordable for biologists or engineers because these characterizations must be in the natural habitat of the animal. For this investigation, it was proposed to implement a motion capture system that uses cameras and artificial intelligence that evaluates the biomechanical behavior of this species.
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