JointEffort is a visual feedback tool that tracks, speeds recovery and prevents further injury for physiotherapy patients trying to recover from injuries using at home exercises.
https://docs.google.com/presentation/d/14kL3d7w30lyb6f-TGzrxM_87nXipXa144RchkFwzOug/edit?usp=sharing
The idea is simple; bring brilliant people with different perspectives together to tackle challenges in healthcare. Far too often those facing these challenges are not connected with the expertise and resources to hatch solutions. Together, we can build an agile community of innovators to identify and solve technical problems in healthcare.
More Info: https://www.hatchinghealth.ca/
Computer Vision Library - https://github.com/tensorflow/tfjs-models/tree/master/posenet Javascript, HTML, CSS, Bootstrap
- Clone this repository
- Navigate to
demos
and install all dependencies by runningyarn
- Run the app using
yarn start
- Have fun with your exercises!
- UI/UX Designer: Joey Limmena https://www.linkedin.com/in/joeylimmena/
- Product Designer: Alison Zhang https://www.linkedin.com/in/alison-zhang-286905b1/
- Computer Vision: Chris Yoon https://github.com/chrisjmyoon
- Software Developer: Gordon Yeh
- Software Developer: Christopher Tam https://www.linkedin.com/in/christopher-tam/
- Biomedical Engineer: Wen-Ling Lin https://www.linkedin.com/in/wen-ling-lin-607215115/
- Medical Student: Donna Liao
- Healthcare Liason: Jamie Park