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.

28
/ 100
Experimental

This tool helps yoga practitioners get real-time feedback on their poses during a session. It takes video input of your movements and identifies the specific yoga pose, then provides immediate guidance to correct your form to match standard movements. It's designed for individuals practicing yoga at home who want to improve their technique.

No commits in the last 6 months.

Use this if you practice yoga by yourself and want an AI assistant to guide you on proper form and posture correction.

Not ideal if you prefer in-person instruction from a yoga teacher or if you need feedback on advanced, very specific yoga sequences not covered by common poses.

yoga-practice fitness-coaching home-workouts posture-correction wellness-technology
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 15 / 25

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12

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5

Language

Python

License

Last pushed

May 18, 2024

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