The KnitDema project is an innovative application designed to assist people with lipedema or other dexterity-affecting conditions to access at-home, readily-available treatment through a specially-molded glove. The glove is equipped with sensors that can detect the user's hand movements and gestures, which are then processed by a machine learning model to provide real-time feedback and guidance on performing lymphatic drainage massage techniques effectively.
My role in this project was to update and advance the software component of this system. There are two main parts to the software component: the first is to ensure users have a easy and seamless experience connecting the glove to the app to access the different treatment modules via bluetooth. The second part is to integrate computer vision to measure patient hand dimensions and automatically generate a custom glove bitmap for the knitters to use, rather than having the patients come to the lab to get their hands measured. The overall goal of this project is to make the treatment more accessible and personalized for patients, while also providing valuable data and insights for healthcare providers to improve patient outcomes.