Project Grant 2426659

Award Date 8/1/25
Completion Date 7/31/28
Dollars Obligated $221K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Brown Deer, WI 53223, USA
Similar Awards
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) funds research to develop an intelligent wearable exercise reminder system called SOUVENIR. The project aims to create a computable theory of human motivation and behavioral change to increase compliance with prescribed therapeutic exercises after a stroke. The research leverages advances in behavioral medicine, computational modeling, and physical medicine and rehabilitation to assess patient...
This $1,149,995.00 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) supports research at New York University (NYU) School of Medicine to develop innovative methods in artificial intelligence (AI) and motion capture technology to analyze patient movement and improve stroke rehabilitation. The key objectives of the project are to: 1) develop a method to integrate multimodal data into a shared representation...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $599,960 to Arizona State University (ASU) to enhance self-directed hand rehabilitation through AI-driven recovery dynamics monitoring and motivation boosting. The 5-year project aims to develop a computer vision-based system that integrates motion sensing and muscle activity data to model and visualize hand recovery progress, provide real-time feedback to patients, and leverage...
The National Science Foundation (NSF) is providing a $170,617 Project Grant under its Engineering program (CFDA 47.041) to the University of Illinois to advance the scientific study of brain functional changes after a stroke and pioneer a tailored rehabilitation strategy that fits each individual's needs. The 5-year project aims to combine different imaging methods to guide electrical brain stimulation that improves the recovery of movement for stroke patients, potentially benefiting over half a...
Neurotechr3 Inc. received a $276,000 STTR Phase I Project Grant award from the National Science Foundation on May 1, 2021 to develop a customized upper extremity telerehabilitation solution. The solution will feature remote therapist interaction and dynamic motor recovery feedback for stroke patients. The award is funded under the NSF Directorate for Engineering's Engineering program (CFDA 47.041) to improve quality of life and economic strength through innovative engineering research and...
This $486,830 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides funding to the University of Delaware for research aimed at enhancing post-stroke gait recovery. The project will utilize the Variable Stiffness Treadmill 2 (VST 2) to introduce personalized perturbations to the walking surface, with the goal of improving balance, propulsion, and symmetry in the gait of stroke survivors. The researchers will develop a multi-layer...
The National Science Foundation awarded New York University a $100,000 Project Grant under the Engineering (47.041) federal grant program. The grant will support the development of a robust, reliable biomarker for assessing post-stroke motor recovery. Specifically, NYU will design and validate a noninvasive biomarker quantifying the directional information exchange between brain and muscle regions after a stroke. This will be accomplished through analyzing cortical sources involved in...
This $997,735 cooperative agreement from the National Science Foundation will support Neurotechr3 Inc.'s development of a personalized telerehabilitation solution for individuals recovering from stroke-related arm and hand impairments. The awardee will advance its machine learning-driven telerehabilitation system through new exergames, personalized rehabilitation plans synchronized with patient recovery trajectories, and clinical evaluations. The system aims to improve access to effective...
The National Science Foundation (NSF) awarded a $550,000 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to the University of Pittsburgh to develop a visual unilateral neglect detection, assessment, and rehabilitation tool for stroke patients. The project will incorporate augmented reality and electroencephalography technologies to objectively quantify neglect severity and provide tailored sensory stimulation during everyday activities. This aims to...
This National Science Foundation project grant of $346,369 will fund the development of a novel gait training method for individuals after stroke from October 1, 2022 to September 30, 2025. The funding supports Syracuse University under the NSF Engineering Directorate's program to improve quality of life and economic strength through engineering innovation. Specifically, the grant will advance knowledge on enhancing muscle power and propulsion, a key barrier to improved walking after stroke. The...

This Project Grant award of $220,947 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to develop an intelligent wearable system that can assess patient motivation, adapt the challenge level of therapeutic activities, and provide cues to motivate stroke survivors to use their affected limbs. The project aims to address the problem of "learned non-use" where stroke survivors avoid using their impaired limbs despite retaining the ability to move them, which limits their independence. The research will involve computational modeling, software engineering, user testing, and feasibility demonstrations to create an explainable machine intelligence system that can optimize personalized interventions to promote sensorimotor recovery after stroke. The award was made to The Medical College of Wisconsin, Inc., a private non-profit research institution, and the project will run from August 1, 2025, to July 31, 2028.

Generated 7/15/25, 4:36 AM