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In recent years, yoga has become part of life for many people across the world.Due to this there is the need of scientific analysis of y postures.The recognition process is based on machine learning.Firstly, a dataset with the human body's coordinates is created.Existing datasets for learning of poses are observed to be not challenging enough in terms of pose diversity, object occlusion and view points.Then, a training model is developed using Logistic Regression and an outcome to be achieved.Finally, the model is utilized to detecting the probability of correctness of different yoga poses.If the probability is to much low it will ring the buzzer.We are also able to detect wrong exercise and able to correct them by this project.
Pokale et al. (Sat,) studied this question.
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