Review of the methods of classification of yoga exercises implemented by machine learning and neural networks

Abstract

Classification methods based on machine learning are common in human pose classification tasks, since they have several advantages, among which are efficient work with large volumes of data of different types (in particular, photo and video data) and, on this basis, building models with high classification efficiency