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FPT-ThaiTuan/Detect-Yoga-Poses-And-Correction-In-Real-Time-Using-Machine-Learning-Algorithms

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1. The problem consists of two main parts

Part 1: Classifying movements based on SVM (Support vector machines)

Part 2: Posture assessment gives real-time feedback

2. Collect data

Collected from kaggle : YOGA_POSE_DATASET

3. Result

Classification results with test data

Confusion matrix

Results of yoga posture correction method

Hope this article can help you.

If you have any questions please contact me for help!

Thanks everyone!

About

Compare SVM mode yoga movement classification accuracy with Linear kernel, Polynomial kernel, RBF (Radial Basis Function) kernel, LSTM with accuracy up to 98%. In addition, it also supports adjusting the practitioner's movements according to standard movements.

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