Project Grant 2451164
- This $276,000 National Science Foundation Technology, Innovation, and Partnerships grant funds the development of a personalized consumer health guidance platform by Rift Valley Health Co. The platform will analyze an individual's sleep, exercise, nutrition, and mental health data from wearables and smart home devices to generate a baseline health profile and recommendations. Both objective biometric data and subjective user inputs will be integrated to draw meaningful correlations and develop a...
- 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 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 Project Grant award from the National Science Foundation's STEM Education (CFDA 47.076) program at San Francisco State University (SFSU) aims to develop an AI-assisted home health monitoring system. The $199,930 award will fund research to create a robust, real-time health monitoring system using floor vibration sensing technology to detect changes in gait, enabling early identification of physical changes in the aging population. The project will leverage advanced machine learning...
- This $1,149,995.00 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) supports research at New York University (NYU) School of Medicine to develop innovative methods in artificial intelligence (AI) and motion capture technology to analyze patient movement and improve stroke rehabilitation. The key objectives of the project are to: 1) develop a method to integrate multimodal data into a shared representation...
- Lifespan Digital Health LLC was awarded a $255,409 Project Grant from the National Science Foundation under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop bio-behavioral technology and provide mental health services. Specifically, the company will use predictive algorithms, wearable technology, and peripheral autonomic biofeedback to provide timely data and enable mental health professionals to treat students. This innovative approach aims to address the...
- 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...
- Foresightcares Inc. received a $275,992 Project Grant award from the National Science Foundation under the NSF Technology, Innovation, and Partnerships program to develop a multimodal artificial intelligence system for remote health monitoring of seniors. The award period is from March 15, 2022 through February 28, 2023. Through computer vision, sensor fusion, and artificial intelligence algorithms, Foresightcares will create a training framework to analyze seniors' daily activities,...
- This Project Grant award from the National Science Foundation (NSF) Engineering Program (CFDA 47.041) will fund research at Arizona State University (ASU) to enhance self-directed hand rehabilitation using AI-driven recovery dynamics monitoring and motivation boosting. The $599,960 award, commencing on July 1, 2025 and concluding on June 30, 2030, aims to address the challenges faced by individuals with hand movement issues due to neurological conditions, aging, or injuries. The project will...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $1,183,690.00 to The Regents of the University of California, San Francisco (UCSF) to develop personalized machine learning models that can predict adverse health events like substance use and stress-related blood pressure spikes using data from wearable devices like Fitbit and Apple Watch. The innovation of this project lies in...
This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program provides $302,668 to Hominin.ai Inc. to develop a software system for real-time monitoring of user health through movement analysis using commercially available wireless headphones. The goal is to translate ordinary human walking patterns into movement-based biomarkers that can identify early indicators of musculoskeletal or neurological diseases, predict health condition exacerbations, and optimize injury recovery. This research aims to increase access to personalized, preventative healthcare and reduce the clinical burden and economic impact of chronic conditions affecting nearly half the U.S. population. The project will advance novel deep learning models to establish personalized baselines and flag changes indicative of pathology, enabling expanded at-home health monitoring and rehabilitation.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $302.7k | 7/30/25 |