Project Grant R44MH119734

This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $503,930 to the University of Puerto Rico Research and Development Center Division to develop a wearable sensor network with distributed computing capabilities for advanced health monitoring and biomechanics analysis. The key products and services to be delivered under this 5-year award include: Creating a novel distributed machine...

This Project Grant award from the National Institute of Child Health and Human Development (NICHD), under the Child Health and Human Development Extramural Research program (CFDA 93.865), will provide $987,365 to Nurelm Inc. to complete the final design and development of the Fast In-Bed Tracking (FIT) platform. FIT is an e-health and wellness IoT monitoring system that can be integrated into a user's bed to passively track weight, supporting health and wellness for individuals, particularly...

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 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 $150,000 Project Grant award from the National Institutes of Health (NIH) Office of the Director under the Trans-NIH Research Support program (CFDA 93.310) will support the development, testing, and evaluation of an internet-of-things software and hardware system for synchronous physiological monitoring of humans and animals involved in animal-assisted interventions (AAIs). The research team at North Carolina State University will utilize wearable, wireless sensors to collect real-time...

This Project Grant award from the National Institutes of Health's John E. Fogarty International Center (CFDA 93.989 - International Research and Research Training) provides $211,347 to the University of Alabama at Birmingham (UAB) to develop and scale up a consumer-grade wearable monitoring system to improve outcomes in low-resource settings in Ghana. The project aims to implement a hospital-based continuous patient monitoring system using consumer wearable devices to enhance the triage of...

This Project Grant award from the National Institutes of Health (NIH) Trans-NIH Research Support program (CFDA 93.310) will fund a research project at Carnegie Mellon University (CMU) to develop advanced behavioral quantification techniques for studying mouse behavior in naturalistic contexts. The $165,589 award, active from August 1, 2024 to July 31, 2026, will support the creation of a comprehensive behavioral segmentation platform that integrates innovations in machine learning, multi-modal...

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 Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $811,228 to B.A. Maze, Inc. to develop and test the At-Home Health Station (AHS), a technology platform designed to assist individuals with cognitive impairment and Alzheimer's disease-related dementias (CI/ADRD) in maintaining independence and health. The AHS is a modular, plug-and-play system that simplifies digital experiences for CI/ADRD users and enables caregivers to set customized...