Project Grant 2601103
- 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 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 Civil, Mechanical, and Manufacturing Innovation awarded Northern Arizona University $336,861 on September 1, 2026, under the Engineering program (CFDA 47.041) to develop a model-based method for estimating sensorimotor states in real time using only haptic data during human-robot physical interaction. The research addresses a fundamental limitation in assistive and neurorehabilitation robotics: current systems cannot easily infer a user's...
- 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...
- 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...
- This National Science Foundation (NSF) Engineering Research Initiation (ERI) project grant, under CFDA 47.041, is awarded for $200,000 to the University of the Pacific to develop a novel wearable sensing and analysis system for early detection of autism spectrum disorder (ASD) in young children and toddlers. The research aims to leverage non-invasive wearable devices to collect physiological and environmental data, and then use machine learning to identify physiological biomarkers and early...
- This $1,871,692 Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) will fund research to develop and evaluate an assistive wearable technology (smartwatch application) to improve employment outcomes for neurodiverse workers, such as those with autism spectrum disorders or attention deficit hyperactive disorder. The research will involve controlled experiments and a workplace field study to assess how the wearable technology can enhance...
- 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...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) project grant award of $430,826 to the New York Institute of Technology aims to develop a quantitative sensing system to evaluate fine motor skills in autistic children. The project will create a low-cost wearable glove and interactive game to objectively measure hand motions and fine motor abilities like grasping and holding a pencil. This technology will provide an alternative to subjective clinical assessments, enabling more...
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 multimodal wearable sensors with artificial intelligence to track movement, balance, and coordination changes during extended rehabilitation periods. Deliverables include energy-efficient sensing approaches, feature extraction methods from wearable sensor signals, machine learning techniques for analyzing high-dimensional time-series data, and quantitative biomarkers of rehabilitation progress. Clinical studies will examine relationships between wearable sensor measurements and established clinical evaluations in individuals with traumatic brain injury and autism spectrum disorder. The work supports national priorities in artificial intelligence and digital health and integrates undergraduate and graduate research training alongside high school outreach in engineering and health sciences. The award is structured as a Project Grant under NSF's Engineering program (CFDA 47.041). Performance runs through September 30, 2030, with work conducted at New Mexico State University in Las Cruces, New Mexico.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 8/11/26 |