Project Grant 2601105
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded New Mexico State University $499,999 on October 1, 2026, to develop and validate wearable sensor systems and patient-specific machine learning methods for rehabilitation monitoring of neurologic motor disorders including traumatic brain injury and autism spectrum disorder. The research addresses the gap between clinic-based recovery assessments and real-world functional outcomes by combining...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of Tennessee at Chattanooga $189,931 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop wearable sensor systems and patient-specific artificial intelligence for rehabilitation monitoring outside clinical settings in individuals with traumatic brain injury, autism spectrum disorder, and other neurologic motor disorders. The research will investigate...
- The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded William Marsh Rice University $450,000 on March 1, 2026, to develop self-optimizing electrical muscle stimulation garments for rehabilitation of nervous system injuries such as spinal cord injury and stroke. The project will design and evaluate a smart wearable garment integrating hardware and machine learning-based control algorithms to automatically identify optimal electrode...
- 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...
- 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...
- The National Science Foundation (NSF) awarded a $180,499 project grant under its Engineering program (CFDA 47.041) to the University of California, San Diego (UCSD) to develop a real-time, holistic health monitoring system for construction workers. This multidisciplinary research aims to improve worker health and safety by integrating wearable sensor technology, artificial intelligence, and data visualization. Key objectives include designing a flexible wearable sensor to continuously measure...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of San Diego $199,999 on May 1, 2026, under the Engineering Research Initiation program (CFDA 47.041) to develop an artificial intelligence framework integrating wearable biosensors for enhanced classroom learning environments. The project develops machine learning models to analyze physiological signals—heart rate, electrodermal activity, and oxygen levels—collected from wearable...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Massachusetts $430,468 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop neuromorphic wearables for continuous neurophysiological monitoring outside clinical settings. The research develops brain-monitoring wearables that capture the full spectrum of brainwave signals, including high-frequency components during motion, and operate...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded $200,000 to the University of Houston on October 1, 2026, for collaborative research developing FBEP-enabled electrochemical sensors for heart failure monitoring under the Engineering program (CFDA 47.041). The research develops a wearable sensing approach for continuous monitoring of N-terminal pro-B-type natriuretic peptide in skin interstitial fluid as an alternative to intermittent blood draws...
- Grant Award Summary Arizona State University received a $599,960 CAREER grant from the National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems (CFDA 47.041 – Engineering program) awarded July 1, 2025, through June 30, 2030. The project delivers three primary technical innovations to enhance self-directed hand rehabilitation for individuals with neurological conditions, aging-related challenges, or injuries. The awardee will develop a...
The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded The University of Texas At El Paso $310,000 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop and validate wearable sensor systems and machine learning methods for monitoring rehabilitation outcomes in individuals with traumatic brain injury, autism spectrum disorder, and other neurologic motor disorders. The research integrates multimodal wearable sensors with patient-specific artificial intelligence to enable continuous assessment of movement, balance, and coordination outside clinical settings. The project develops energy-efficient sensing approaches, feature extraction methods for wearable sensor signals, and machine learning techniques for analyzing complex movement data collected during rehabilitation. Clinical studies will establish relationships between wearable sensor measurements and established clinical evaluations, develop quantitative biomarkers of rehabilitation progress, and create patient-specific recovery assessments. The work supports remote rehabilitation access and early identification of delayed recovery while advancing national priorities in artificial intelligence and digital health. The project runs through September 30, 2030, with performance at El Paso, Texas. Educational components include research opportunities for undergraduate and graduate students and high school outreach in engineering and health sciences.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $310.0k | 8/11/26 |