Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.
The purpose of this project is to detect the squat angles which will be helpful for the fitness instructors to provide corrective advice where appropriate.
Detect Squat position using MediaPipe
Powerlifting Formulas Calculator (Wilks, WilksV2, Dots, IPF, Reshel and Glossbrenner)
Free, offline-first powerlifting tracker for structured Squat, Bench Press and Deadlift training.
基于 MediaPipe 的深蹲姿态识别与智能评分系统：33 个关键点提取 + 四状态机动作计数，从深度、稳定性、节奏、控制、姿态、自然度六个维度评分并自动生成教练反馈；支持摄像头实时检测与视频离线批量验证。
纯前端力量训练周期计划生成器｜输入卧推 / 深蹲 10RM，自动排出「递增金字塔 + 双重递进」计划，并按每次训练的实际结果自动进退阶｜卧推与深蹲各自独立｜离线可用，数据仅存本机浏览器
Official code for the iSTAR 2023 paper "A Case Study for the Automatic Supervision of Body-Weight Exercises: The Squat"
an intuitive rest api for the open powerlifting database
Home page of chess tournament “30 years rozbrat!” 🥳
SquatPT: Multimodal AI Personal Trainer. Real-time squat analysis using Custom LSTM & GPT-4o. (Features: Temporal Interpolation, Smoothing, LLM Integration)
This is an Android application designed to facilitate the collection and labeling of squat pose data. This tool is essential for training the rep-counting classifier used in the TrAIner app.
squats detection and counting desktop application
Track Squat, Bench Press, and Deadlift training offline with a calm, ad-free powerlifting tracker that builds your next workout from your history and readiness.
To associate your repository with the squat topic, visit your repo's landing page and select "manage topics."