Collaborative Research: SCH: AI-driven RFID Sensing for Smart Health Applications — NSF Award to University of Colorado at Denver
Many existing health monitoring systems are expensive, uncomfortable to wear, or can only be administered in a hospital environment. With advances in the Internet of Things (IoT) and Machine learning (ML)/artificial intelligence (AI), it is highly desirable to develop AI-driven radio frequency sensing techniques to mak
| Award title | Collaborative Research: SCH: AI-driven RFID Sensing for Smart Health Applications |
|---|---|
| Award ID | 2545071 |
| Awardee | University of Colorado at Denver |
| City | AURORA |
| State | CO |
| Amount obligated | $164,110 |
| Principal investigator | Harrison Bai |
| Program | Smart and Connected Health |
| Start date | 07/15/2025 |
| Abstract | Many existing health monitoring systems are expensive, uncomfortable to wear, or can only be administered in a hospital environment. With advances in the Internet of Things (IoT) and Machine learning (ML)/artificial intelligence (AI), it is highly desirable to develop AI-driven radio frequency sensing techniques to make smart health monitoring cheaper, more comfortable to use, and more accessible to the broad population, while supporting excellent monitoring performance. The main challenges to a |
| Source | NSF Awards |
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