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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.
[JS/TensorFlow] Javascript library that implements machine learning-based models for human pose estimation and human movement analysis. It allows you to easily implement 3 neural network models using for human pose estimation: MoveNet, PoseNet and BlazePose. No node.js required, TensorFlowJS was used, example app is included.
This is the project repository for the research study Human Action Recognition using BlazePose Skeleton on Spatial Temporal Graph Convolutional Networks presented by Motasem S. Alsawadi and Miguel Rio.
A collection of notebooks for my final year project. The notebooks are used to create a virtual personal trainer to check bicep curls, squats and overhead presses.
Proteo is an open-source and cross-platform scriptable platform, highly modular and with built-in support for many useful modules for serious games implementation