Real-time lateral sitting posture detection to predict good and bad postures using YOLOv5
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Updated
Dec 13, 2025 - Python
Real-time lateral sitting posture detection to predict good and bad postures using YOLOv5
AI-powered posture & focus monitor that takes periodic snapshots to detect bad posture and phone distractions without keeping camera always on.
A posture detecting system using Arduino UNO and the MPU 9250 9-axis sensor
A poseNet demo built using ml5.js and p5.js
🧍 Privacy-first desktop app that improves your posture via on-device webcam tracking
Tu postura, medida por la webcam, convertida en la vida de un tamagotchi pixel-art que vive en una ventana flotante siempre encima de tu editor. El vídeo se procesa entero en el navegador y no sale a internet. Proyecto de hackathon con Kiro y AWS.
Posture Correction using ESP32-MINI-1 and MU sensor (GY-521 / MPU-6050)
Windows 桌面姿态监测原型:基于摄像头、MediaPipe/OpenCV 与 PyQt5 实时识别坐姿风险,支持托盘运行、启动校准、调试面板,以及渐进式压暗/模糊屏幕的视觉干预。
Posture correction system using skeleton detection
MacOS menu bar app that detects slouching using AirPods head-tracking and reminds you to sit up straight.
👨💻Sistema avanzato di monitoraggio posturale in tempo reale con Computer Vision - Windows/macOS/Linux
ErgoSense is your personal AI-powered ergonomics assistant that uses advanced local AI to monitor your ergonomics in real-time, helping you stay healthy and productive without ever compromising your privacy. The application runs quietly in the background, acting as your digital health guardian for extended work sessions.
The fitness ai app to track your day to day fitness activities with the help of ai
Edge AI posture monitoring system with STM32 sensor node and Raspberry Pi runtime
Real-time AI attention tracker — tracks gaze, blink rate, drowsiness, posture & frustration into a live 0-100 Focus Score. XP system, badges, session reports & web dashboard. MediaPipe + OpenCV + Flask.
Privacy-first posture and sedentary reminder for Windows with fully local pose estimation.
DeskGuardian is a real-time AI-powered desktop application for posture monitoring, screen-time tracking, burnout prediction, and wellness analytics. Built with PyQt5, MediaPipe, OpenCV, scikit-learn, and SQLite, it provides live posture detection, break tracking, smart alerts, and an interactive analytics dashboard.
Real-time posture monitoring and slouching detection using MediaPipe Pose and Hands. Includes audio alerts and landmark visualization.
Archived engineering history of ScreenGuardian: the 2023 PyQt5/Dlib app, ScreenGuardian Lite, and the CustomTkinter/MediaPipe rewrite.
A posture tracker that sends in auditory alerts to the user to fix their posture everytime they hunch.
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