Home Train

Our app seeks to provide free, real-time feedback for basic exercises to improve the home workout experience. The pandemic created the need for individuals to do more home workouts, which meant that people needed to learn how to excercise by themselves. Currently, self-analyzing workout apps cost money, so we decided to bbuild an entirely free app that allows users to track their home workouts.

Functionality

The app includes two main features: workout detection and workout tracking.

• Workout Tracking: Utilizes computer vision technology to provide real-time feedback on the correctness of the users push-up and plank form. This technology was built using a TFLite model and thhe MoveNet library.

• Workout Analytics: Fetches data from the firestore database and displays statistics on an interactive line graph for each workout.

Technical Architecture

How The Files Are Organized:

• HomeTrain_iOS is the native iOS TFLite code. It is built off of the PoseNet Example Code * The model + set up is contained in ML * The UI and modifications are contained in UI * The main logical components are contained in Views & ViewController * Pods contains necessary dependencies
• home_train contains the dart code and UI * web, iOS, and android contain platform-specific dependencies and code * pubspec.yaml contains the necessary dependencies * lib has the running code, with main, constants and other important dart code * screens contains each screen view * components contains widgets/functions/components that are important
• Things that aren't mentioned are boilerplate/dependency documents or assets

Installation Instructions (Flutter)

1. Download and install Flutter, can be installed in VSCode (https://docs.flutter.dev/get-started/install)
2. Clone the github git clone "https://github.com/CS222SP22/course-project-mem"
3. Go into the home train directory cd home_train
4. Build + Run on web or physical mobile device (we reccomend web — mobile apps have a lot of overhead and build issues outside of app stores)
   • Web: flutter pub get flutter run -d chrome --web-port 5000
   • Mobile:
     • Trust the device and make sure to trust the app. For iOS, [Settings -> General -> VPN & Device Management -> Trust]
     • On Android, enable Trust USB Debugging
   • Run flutter pub get and flutter run on computer

Installation Instructions (TFLite)

1. Download and install XCode
2. Open the HomeTrain_IOS folder in XCode
3. Navigate to the HomeTrain_IOS Directory
4. Open an emulator or plug an iOS device in (plugging in a device is highly recommended)
5. Run pod install
6. Open the PoseEstimation Workspace and run the build
7. Make sure your entire body is captured within the camera screen for optimal performance when trying a push-up or a plank (at the least, shoulders to ankles)