Roll your own tracker!
A workout tracking web application for personal use (or family, friends), geared towards running and other GPX-based activities
FastNFitness Android app: Body, Cardio and Fitness tracking.
#计算机科学#Extracting meaningful health information from large accelerometer datasets
Self hosted web analytics for endurance athletes
#安卓#WARNING: This repository is no longer maintained ⚠️ This repository will not be updated. The repository will be kept available in read-only mode. Refer to https://developer.ibm.com/patterns/cat...
#安卓#Android example showing Bluetooth communication with Xiaomi Mi Band 2. Demonstrates device pairing, data syncing, activity tracking, heart rate monitoring, and notification handling. Provides referenc...
An AI model used to help with the workout session by keeping track of counts and movement.
#计算机科学#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.
Pipe your Activity Data from Strava directly into Home Assistant
电脑端AI健身助手，支持实时姿态识别、运动计数和训练反馈。 AI-powered fitness assistant for real-time pose estimation, exercise counting, and workout feedback.
Mobile application for exploring fitness data using both speech and touch interaction.
Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]
#安卓#RunTrack is a Running Tracking app made using Modern Android Development (MAD), including Jetpack Compose, MVVM architecture, and Google Maps API. The app allows users to track their running activitie...
#安卓#Minimalist fitness tracker inspired by FitNotes.
Analyzing all my Quantified Self data
A workout tracker for iOS that includes cycling, running, as well as strength exercises. Supports Bluetooth sensors.
Bluetooth LE app for TomTom GPS watches: Runner, MultiSport, Cardio, Spark, Runner v2
#安卓#A simple workout tracker app, to keep track of your progress.
Example scripts for parsing data exported by popular fitness tracking devices and apps. Created for this article: https://towardsdatascience.com/parsing-fitness-tracker-data-with-python-a59e7dc17418