Project Summary
Have you been experiencing pains and injuries after starting your new hobby in running? Perhaps, you're feeling some pain in your legs, or ankles, etc. Aside from strength training, one thing you should do is get your gait analyzed. However, a full gait analysis isn't cheap and may not be always necessary. Our project here aims to help give quick, accessible advice to runners, providing feedback on the deviation of their arms from the ideal 90 degree angle, the difference between stride length of their left and right foot, the deviation of their back leg from the ideal 180 degree angle, and the cadence of the runner. You, the user, can simply upload a short video of you running, and you will receive feedback in a matter of moments.
DEVPOST: (https://mosa-spring-hackathon-2024.devpost.com/)
Authors
- Ryan Lim Pangilinan - ryanpang – [email protected] - GitHub
- Samuel Lee - leesamuel423 – [email protected] - GitHub
- Cara Ma - cteoong – [email protected] - GitHub
- Katherine Zhang - zhkat – [email protected] - GitHub
The user can get their running gait analzyed my uploading a video of themselves running, and the application will display to the user information on the deviation of their arms from the ideal 90 degree angle, the difference between stride length of their left and right foot, the deviation of their back leg from the ideal 180 degree angle, and the cadence of the runner.
Ensure you have Python 3.8+ and pip installed on your system. Additionally, ensure you have Node.js installed.
Follow these steps to install:
- Clone the project repository:
git clone https://github.com/ErPang97/RunningGaitAnalysis
cd RunningGaitAnalysis- Make the backend your working directory:
cd backend- Create a virtual environment. A virtual environment is recommended to keep dependencies required by the project separate and to avoid conflicts with other projects.
# For Unix or MacOS
python3 -m venv venv
# For Windows
python -m venv venv- Activate the virtual environment:
# For Unix or MacOS
source venv/bin/activate
# For Windows
venv\Scripts\activate- Install required python packages specified in the requirements.txt file:
pip install -r requirements.txt- Run your flask backend server:
flask run- Make the frontend your working directory:
cd frontend- Install required node packages:
npm i- Run the frontend:
npm run devYOLOv8, Python, Flask, TypeScript, JavaScript, React, HTML, CSS
Thank you to MCIT for imparting valuable knowledge on us. Thank you to MOSA for hosting this hackathon.
Copyright (c) 2024
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.