Project Grant 2245608
- The National Science Foundation (NSF) awarded a $180,000 Project Grant under the Engineering (CFDA 47.041) program to the Kennesaw State University Research And Service Foundation, Inc. (KSU R&SF) to develop a low-cost, unobtrusive, and robust posture capture system for healthcare and home environments. The project aims to use passive radio-frequency identification (RFID) tags attached to clothing to detect body motions and reconstruct posture, which can be used to monitor persons in need of...
- This Project Grant award for $299,997.00 from the National Science Foundation's Computer and Information Science and Engineering Program (CFDA 47.070) supports a collaborative research effort led by Auburn University. The project aims to develop AI-driven radio frequency identification (RFID) sensing techniques to enable more affordable, comfortable, and accessible smart health monitoring systems. The key products and services to be delivered include: Investigating challenges and performance...
- This National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems (ECCS) Project Grant award of $200,000.00 to Villanova University is focused on developing a personalized radio frequency (RF) sensing framework for 24/7 monitoring of activities of daily living (ADL) and characterization of human gait. The two main objectives are: 1) Creating a human ethogram, a quantitative approach to describing daily human behavior in terms of "body states" and...
- 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,...
- This National Science Foundation (NSF) Engineering Program (CFDA 47.041) Project Grant award of $170,000.00 to Auburn University provides funding for research toward untethered extended reality (XR) through wireless sensing and communications co-design. The key products and services to be delivered under this 3-year award (2/1/2025 - 1/31/2028) include: Developing novel millimeter-wave (mmWave)-based sensing methods to detect full-body movements of multiple XR users, leveraging complex-valued...
- The National Science Foundation (NSF) awarded a $549,999 Project Grant under its Technology, Innovation, and Partnerships (CFDA 47.084) program to the University of Delaware. The grant, entitled "Using Textile-Based Wearable Sensors Coated with Nanocomposites for Virtual Health and Physical Rehabilitation," aims to develop innovative wearable sensors that can detect and capture human movement kinematics and kinetics. These sensors have the potential to allow physical therapists and...
- This $1,200,000 Project Grant was awarded on August 15, 2023 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 grant supports research at The Pennsylvania State University (Penn State) to develop computer vision algorithms that can accurately estimate biomechanical data like body pose, motion, and forces from video data alone. This will enable the observation of human...
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $254,369 to Michigan Technological University to develop a wearable device capable of continuously sensing physiological signals for biometric authentication and health monitoring. The project aims to advance cybersecurity, protect user privacy, and support smart healthcare by improving the reliability and accessibility of wearable technologies. The research will explore the use of...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE, CFDA 47.070) program aims to develop and evaluate a new auto-calibrated insole system, along with explainable artificial intelligence (XAI) models, to enable accurate, tailored, and reliable fall risk assessment for adults aged 65 and older during their normal daily routines. The $441,032 award to the University of New Hampshire will advance technologies that...
- The National Science Foundation Division of Computer and Network Systems awarded a $1,199,930 Project Grant to the University of California, San Diego under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a multi-sensor adaptive data analytics system for physical therapy called MS-ADAPT. The four-year award beginning September 15, 2022 will support the design and testing of novel fabric sensors integrated with commercial kinesiology tape to remotely...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded Auburn University a $120,000 Project Grant under the Engineering program (CFDA 47.041) to develop a low-cost, unobtrusive, and robust posture capture system for healthcare and home environments. The project aims to use passive radio-frequency identification (RFID) tags on fitness clothing to detect and analyze body motions and reconstruct skeletal posture. This system can be used to monitor individuals at risk of falling or detect abnormal body movements, as well as enhance rehabilitation training and evaluation. The project also includes developing AI-based methods to provide diagnostic information from the captured posture and motion data. The award period is from Aug 1, 2023 to Jul 31, 2026.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $120.0k | 7/22/23 |