Project Grant 2348427
- 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, valued at $503,930.00 and awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports the development of a wearable sensor network with distributed computing capabilities for advanced health monitoring and biomechanics analysis. The research aims to address key challenges associated with wearable technologies, such as limited computational power, battery capacity, data...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $174,999 provides funding to the Research Foundation of the City University of New York (RFCUNY) - Brooklyn College to develop a depth estimation system using wireless sensors and cameras. The key products and services to be delivered under this 2-year project grant include: 1) Collecting a large-scale dataset of human activity and gesture recognition data using...
- North Carolina State University received a $1,095,532 project grant award from the National Science Foundation Division of Information and Intelligent Systems on September 1, 2021 to develop wearable multi-modal sensing and stimulation arrays for muscle-aware exoskeleton control. The award is funded through the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in computing, communications, and information...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to North Carolina State University (NC State) to study the integration of aerial network elements (ANEs) such as drones and unmanned aerial vehicles into existing terrestrial wireless networks. The 3-year project, titled "NETS: SMALL: COLLABORATIVE RESEARCH: NSF-NSERC: 3D HARMONY: ARTIFICIAL INTELLIGENCE ENABLED HARMONIOUS WIRELESS...
- 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 (NSF) Division of Computer and Network Systems awarded a $170,499 Project Grant under the CFDA 47.070 Computer and Information Science and Engineering program to The Ohio State University. The two-year grant, awarded on August 1, 2023, aims to develop a networked system that enables accurate, efficient, and scalable N-way sensing using a combination of different Internet of Things (IoT) hardware platforms. The project will deliver reusable system designs,...
- The National Science Foundation (NSF) awarded a $166,289 Project Grant to the University of Massachusetts (UMass) under the Engineering program (CFDA 47.041) to develop a novel single-ear biosensing system for continuous facial and eye movement tracking and 3D facial reconstruction. The research aims to enable camera-free facial landmark detection and 3D facial animation through cross-modal transfer learning between visual and biosignal data. Key project objectives include designing low-power...
- This National Science Foundation (NSF) Project Grant awarded to Virginia Polytechnic Institute & State University (Virginia Tech), totaling $600,000, supports the development of hardware and software for sustainable and efficient wearable edge intelligence. The project aims to address fundamental accessibility and sustainability challenges of wearable health monitoring devices and artificial intelligence services for underserved communities. Key research focuses include extending the...
- The National Science Foundation (NSF) Division of Computer and Network Systems awarded Duke University a $300,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070). The goal of this 2-year EAGER (Early-concept Grants for Exploratory Research) project is to leverage an existing testbed in the Duke-Durham Research Triangle to investigate fiber sensing-based heterogeneous traffic monitoring and its integration with data communication networks. The...
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 video and 3D mesh, as well as pre-trained vision-language models to enhance the generalization capabilities of wireless human activity sensing. The project will result in algorithms that can be broadly applicable in wireless human sensing and enable a wide range of applications in smart homes, healthcare, robotics, smart cities, and entertainment. Additionally, the project will provide opportunities for students to get involved in this research area and contribute to a new course on wireless sensing at the University.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $175.0k | 4/24/24 |