Project Grant 2245607
Award Date
8/1/23
Completion Date
7/31/26
Dollars Obligated
$180K
Federal Agency
Division of Electrical, Communications and Cyber Systems
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Kennesaw, GA 30144, USA
Similar Awards
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...
The National Science Foundation (NSF) awarded a $299,612 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Johns Hopkins University to develop AI-driven Radio Frequency Identification (RFID) sensing systems for smart health monitoring applications. The 4-year project aims to create more affordable, comfortable, and accessible health monitoring solutions by leveraging advances in the Internet of Things and machine learning/artificial...
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) 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 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...
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...
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) awarded a $175,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of North Carolina at Charlotte. The funding will support the development of generalized wireless human sensing frameworks to improve the performance and reduce deployment efforts of wireless human activity sensing systems in new environments and for new tasks. The research aims to leverage data from other modalities, such as...
The National Science Foundation awarded a two-year, $199,967 Project Grant to The Trustees of the Stevens Institute of Technology under the Engineering (CFDA 47.041) federal grant program. The grant will support the development of a validation framework and open-source hardware/software sync platform for wearable motion analysis systems. Specifically, the grantee will establish novel data-driven methods and probabilistic/learning-based models to enable accurate time alignment between...
This Project Grant award of $305,000.00 was provided by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) federal grant program. The award will fund the development of a non-invasive radiofrequency sensing technology for home-based monitoring of heart and lung function. The research objectives include designing improved antennas for ambulatory use, improving signal processing techniques to mitigate interference, and validating the system's...