Android application which uses Mediapipe to detect hands in a live stream from a phone camera📱
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Updated
Apr 27, 2020 - Java
Android application which uses Mediapipe to detect hands in a live stream from a phone camera📱
Handtracking mediapipe sample with bitmap RGB input
Mediapipe sample in gradle.
Sign language recognition, using multihand tracking solution from Mediapipe, along with Speech recognition and Text to Speech to deliver an Android App for deaf mute people
watch for full tutorial : https://youtu.be/hOnWIsLztyk
An AI-Driven fitness mobile application that provides real-time feedback. Works on the Meidapipe Pose Estimation Model and Tensorflow Pose Classification Models. The main Functionality of the application is to provide correct real-time feedback to the user about the Correct Posture for more than 7 exercises and Yoga Poses and also keep a Repetit…
Cordova MediaPipe Pose plugin
Project realized for the exam of Multimodal Interaction. Android application that allows you to play chess using voice commands and gestures.
집중력 감지 앱의 집중력 감지 파트.
Android camera app which provides gesture recognition for image capture.
사람의 자세를 감지 후 바른 자세를 판별하는 앱.
Mediapipe Solutions Examples in Android Studio
ESP32 CAM을 이용해 모노 아이로 사람을 추적하는 자쿠 헤드
AI Eye的手机端的代码。可以实现视力检测、色盲检测、散光检测等,同时基于Mediapipe开发,实现了单目摄像头的测距和手势识别。This is the android version of app named "AI-Eye" using Mediapipe. It can realize vision detection, color blindness detection, astigmatism detection, etc. At the same time, based on the development of Mediapipe, it realizes the ranging and gesture recognition of monocular camera.
Quickly add MediaPipe Pose Estimation and Detection to your React Native app. Enable powerful features in your app powered by the body or hand.
Add a description, image, and links to the mediapipe topic page so that developers can more easily learn about it.
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