NeurosciencePeerJ Computer SciencePeer-reviewed
Solving musculoskeletal biomechanics with machine learning
Yaroslav Smirnov, Denys Smirnov, Anton Oleksandrovych Popov, Sergiy Yakovenko
This paper applies machine learning to model musculoskeletal transformations in the human arm and hand, showing that both gradient boosting and neural networks can accurately predict muscle length and moment arm relationships.
36 citations