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

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.

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

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