This repository contains implementations for applications on the Hexiwear device.
This project was completed as undergraduate research at the University at Buffalo being supervised by Dr. Wenyao Xu in the Embedded Sensing and Computing Lab at the University at Buffalo, the State University of New York.
Work was completed by Andrew Woska and Sardul Saptarshi from 2021-2022.
You can reach me at [email protected].
This project focuses on rehabilitating post-stroke patients by slowly building up their motor skill with activities supplied by the Hexiwear smartwatch. Please see the abstract or poster for more information on my webpage under A1.
The main application is in the folder Hexi_App_Steady. This application was used at the SUNY Undergradate Research Conference in 2022 to demonstrate the capabilities of the watch and show that this is a viable method for motor rehabilitation.
Each application folder will contain individual documentation.
Mbed OS was used to create the applications for this device.
Mbed OS 5.12 must be used to prevent any issues with the Hexiwear device. Mbed 6 does not work and earlier versions of Mbed 5 have been deprecated.
For more information on Hexiwear, visit my GitHub repository that I forked here. Note that it may need to be updated as much has changed with both Hexiwear and ARM.
Certain libraries may be released under certain licenses. Observe and respect all licenses. Licenses will be listed under folder README.
Licenses used throughout repository:
- Apache
- MIT
- GPL
- Beerware