Research repository for TouchPose: Hand Pose Prediction, Depth Estimation, and Touch Classification from Capacitive Images. ACM UIST 2021. Dataset, models, and code.
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Updated
Dec 14, 2021 - Jupyter Notebook
Research repository for TouchPose: Hand Pose Prediction, Depth Estimation, and Touch Classification from Capacitive Images. ACM UIST 2021. Dataset, models, and code.
Real time AI hand pose detection and Gesture recognition app build by using ReactJS and react webcam
Here is source code for an example of hand tracking using mediapipe library
[TCYB2018] Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images
Here is source code for an example of hand tracking application (Virtual calculator) using openCV and mediapipe. It is a project for practicing skills in using openCV and image processing in computer vision. With this code, you can create a Virtual calculator and do basic mathematical calculation.
[CVPR 2024] OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
Control your computer using hand gestures with AI, using Google's MediaPipe and OAK-D Lite camera.
personal website
Hand Mesh Recovery models on OakInk-Image dataset
[CVPR 2022] "Mining Multi-View Information: A Strong Self-Supervised Framework for Depth-based 3D Hand Pose and Mesh Estimation"
Fast hand pose estimation on a bare Raspberry Pi 4 at 7 FPS
HAND POSE Estimation with Tensorflow.JS and React.JS
The Official PyTorch Implementation of "MHEntropy: Multiple Hypotheses Meet Entropy for Pose and Shape Recovery" (ICCV 2023 Paper)
Tensorflowjs handpose gesture recognition - This package provides utility function to create "landmark" array from keypoints & keypoints3D arrays; for the latest model of handpose.
A few CoreML models that allow for American Sign Language alphabet detection.
[CVPR 2024] OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
Real time AI hand pose estimation and positioning app build by using ReactJS and react webcam
SHOWMe: Benchmarking Object-agnostic Hand-Object 3D Reconstruction (Dataset, Contains proposed top baseline reconstructions with estimated camera poses)
This repo contains the code used for carrying experiments for Paper Id 50 in preregister workshop at NeurIPS 2020.
testSpectrogram is an open-source platform for wireless channel simulation, human/hand pose extraction, gesture spectrogram generation, and real-time gesture recognition based on millimeter-wave passive sensing and communication systems.
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