EdgeCare
A multi-disciplinary project for developing and deploying an IoT data driven, edge computing and machine learning based solution for high quality, low cost, socially-relevant self-managed care. Through focus groups and pilot studies, this project lays the groundwork for innovations in real-time and privacy-preserving learning systems that employ IoTs and edge computing to support learning on health data and provide real-time, personalized feedback without compromising user privacy.
News
- February 2025: EdgeCare team presented at the ASU Digital Health Summit
- February 2025: EdgeCare graduate student Natalie Newton presented "Technology Attitudes and Health: Insights from Older U.S. Military Veterans" at the SPSP 2025 Health Preconference .
- June 2024: EdgeCare Community Workshop
- June 2024: ASU News report on the EdgeCare project: No one left behind: AI-enabled support for aging vets
- February 2024: Profs. Zhao and Roberts shared the EdgeCare project with the S&CC community at the annual PI meeting