This is a Project Grant awarded by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The $299,708 grant, with a period of performance from August 15, 2023 to July 31, 2027, supports collaborative research to develop AI-driven radio frequency identification (RFID) sensing techniques for smart health monitoring applications. The research aims to create more affordable, comfortable, and accessible health monitoring systems that leverage advances in the Internet of Things and machine learning/AI. The project will investigate fundamental challenges in RFID sensing, develop methods for monitoring respiration, pulmonary function, and heartbeat signals, as well as systems for pose monitoring, activity recognition, and Parkinson's disease detection. The team will also develop robust and fair federated learning models to handle health data. The research will be validated through experiments in emulated and real clinical environments, with a focus on Parkinson's disease and interstitial lung disease detection.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $299.7k | 8/15/23 |