Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques

Realtime TensorFlow.js + WebGL visualization apps. 3D Hand pose estimation, 3D Human pose estimation, Face swap, Depth estimation, Higher accuracy face detection.

Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.

BlazePose - Super fast human pose detection on Tensorflow 2.x

Full body pose estimation to be used with HMD (Quest2) built in Unity

[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.

Compute 2D joint and segment angles from a video.

body-controlled rhythm game

BlazePose: Body Segmentation for TFJS and NodeJS

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

Realtime pose landmark detection with BlazePoseBarracuda in Unity

We use the Blaze pose for detecting human poses and classify yoga poses

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.

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.

Exercises counter web app

AI Gym Trainer

Moving 3D objects in the browser via webcam body-tracking.

Comparing the performance of the BlazePose and the MoveNet-Thunder frameworks in the tackling of the Pose Estimation problem

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.

Yoga pose classification model based on pose estimation (BlazePose 3D)