This $412,423 project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of novel closed-loop behavioral health interventions at the University of Chicago from September 2022 through July 2026. The university researchers will create three types of wearable and Internet of Things systems delivering sensory interventions for mental health issues like substance cravings, workplace stress, and social stress. The...
This $393,392 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at Northeastern University to develop a context-aware framework for improving the delivery and effectiveness of digital health interventions on personal computing devices like smartphones and wearables. The project aims to create smart systems that optimize the timing, type, and delivery method of digital health...
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 of $1,183,690 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at the University of California, San Francisco (UCSF) to develop personalized machine learning models that can predict repeat adverse health events, such as substance use and stress-related hypertension, using data from consumer wearable devices like Fitbit and Apple Watch. The key innovation of this project is the use...
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 $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 National Science Foundation award of $247,721 provides funding under the Computer and Information Science and Engineering program (CFDA 47.070) to Arizona State University for a project titled "CAREER: Autonomous Wearable Computing for Personalized Healthcare." The project aims to develop foundations for computational autonomy in wearable-based health monitoring and interventions. Specifically, the university will investigate methods for automatically and autonomously labeling...
This Project Grant award of $220,148 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research by Trustees of Dartmouth College to develop "earable systems" - unobtrusive, ear-worn devices that can sense a variety of physiological signals from the head, such as brain activity, facial muscle movements, and eye movements. The research aims to enable continuous, comfortable monitoring of these signals for...
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) 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 four-year $686,879 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support the development of novel closed-loop behavioral health interventions delivered through wearable and Internet of Things devices. Specifically, the researchers at Cornell University will create three types of wearable and IoT systems using different sensory modalities like vibration, airflow, and touch to provide just-in-time interventions for mental health issues like substance cravings, workplace stress, and social stress. The systems will monitor physiological signals to automatically trigger personalized interventions without requiring active user engagement. The project aims to produce open-source software, hardware designs, and datasets while collaborating with clinical partners to accelerate dissemination and commercialization opportunities. Funding began on September 1, 2022 and will continue through August 31, 2026.