Project Grant 2601104
- 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...
- 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 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 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...
- 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 $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 awarded the University of Tennessee $1,038,318 on October 1, 2025, under the Engineering program (CFDA 47.041) to develop an AI-enhanced soft robotic system that mimics protective functions of the human eye to autonomously maintain visual clarity during minimally invasive surgeries. The system integrates soft actuation, programmable fluidics, and real-time AI control to enable autonomous lens cleaning, adaptive airflow shaping, and vision enhancement within a...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of Cincinnati's Sponsored Research Services Division $590,513 on September 1, 2026, under the Engineering program (CFDA 47.041) to conduct research combining in vitro experiments and computer modeling to study mitochondrial dysfunction following traumatic brain injury. The recipient will build an integrated experimental-computational model relating tissue-level biomechanics to...
- This CAREER award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) funds the development of an artificial nervous system enabling in-body communication between wearable and implantable bioelectronic devices. Awarded to Georgia TECH Research Corp on June 15, 2025, with $499,896 obligated through May 31, 2030, the project addresses critical limitations in existing therapeutic systems by creating optimized emitter and receiver networks that facilitate real-time...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Tennessee $376,586 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to design low-cost, portable edge artificial intelligence (EdgeAI) tools for resource-constrained communities. The project develops EdgeAI tools that embed machine learning directly into inexpensive computing devices capable of operating without internet access or...
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 fundamental methods for combining multimodal wearable sensors with patient-specific analysis of complex movement data, including energy-efficient sensing approaches, feature extraction from wearable sensor signals, and machine learning techniques for analyzing high-dimensional time-series data collected during rehabilitation. The project aims to identify movement patterns associated with neurologic motor disorders, develop quantitative biomarkers of rehabilitation progress, and improve patient-specific assessment of recovery through clinical studies examining relationships between wearable sensor measurements and established clinical evaluations. The research supports national priorities in artificial intelligence and digital health while providing research opportunities for undergraduate and graduate students and outreach engagement with high school students in engineering and health sciences. Performance of work occurs in Chattanooga, Tennessee through September 30, 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $189.9k | 8/11/26 |