Control volume and brightness effortlessly with hand gestures. Our machine learning technology interprets your movements, letting you adjust settings with a simple wave or swipe. Say goodbye to remotes and hello to intuitive control.

Ultraleap SDK for Unity.

An ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, and provides documentation covering the neural network architecture, installation, dataset details, training procedures, and real-time detection.

Hand tracking using python. Data utilized in unity

A differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces

Immersive VR web browser for Meta Quest using hand gestures or controllers.

MediaPipe for VL

WebAR.rocks hand detection and tracking

A hand tracker sample prototype with cvzone and OpenCV-python

用の革新的なニューラルネットワークで、ユーザーの周囲の空間を正確にスキャン・分析します。 このシステムには、手、足、顔のスキャン機能があり、様々なネットワークプロジェクトへの統合に最適です。

This project utilizes OpenCV and Mediapipe to create an air canvas, detect faces, and calculate the screen-to-hand distance.

[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D hand-object training data.

Spacemail is a VR spaceship action game developed by the UF MiDAS cohort during the fall semester of 2020.

AlphaPose: Real-Time and Accurate Full-Body Multi-Person Pose Estimation & Tracking System.

This is our Bachelor degree's Final Year Project

[CVPR 2023] Official repository for downloading, processing, visualizing, and training models on the ARCTIC dataset.

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

Python Mediapipe Control Chrome Dino with your hand

This project demonstrates real-time hand gesture-based volume control using a webcam feed. Leveraging the HandTrackingModule, MediaPipe, and OpenCV, the program tracks hand movements and recognizes gestures to adjust system volume.