Cooperative Agreement 2439455
- Foresightcares Inc. received a $275,992 Project Grant award from the National Science Foundation under the NSF Technology, Innovation, and Partnerships program to develop a multimodal artificial intelligence system for remote health monitoring of seniors. The award period is from March 15, 2022 through February 28, 2023. Through computer vision, sensor fusion, and artificial intelligence algorithms, Foresightcares will create a training framework to analyze seniors' daily activities,...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE, CFDA 47.070) program aims to develop and evaluate a new auto-calibrated insole system, along with explainable artificial intelligence (XAI) models, to enable accurate, tailored, and reliable fall risk assessment for adults aged 65 and older during their normal daily routines. The $441,032 award to the University of New Hampshire will advance technologies that...
- This $300,000 Project Grant award, provided by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), supports the development of an AI-powered toolkit to make digital activities, such as puzzles and competitive sports, more accessible for older adults aged 50 and above. The project, led by Northeastern University, aims to address the barriers that prevent many older adults from engaging with digital activities, whether due to...
- The National Science Foundation (NSF) awarded a $992,460 Cooperative Agreement under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Canetia Analytics, Inc. for the development of an AI-based, IoT-enabled system for structural health monitoring. The technology comprises an IoT device to record vibration data from structures and a proprietary machine learning software to analyze the data and identify structural faults or decay. This system aims to enable fully automated,...
- This Project Grant award from the National Science Foundation's STEM Education (CFDA 47.076) program at San Francisco State University (SFSU) aims to develop an AI-assisted home health monitoring system. The $199,930 award will fund research to create a robust, real-time health monitoring system using floor vibration sensing technology to detect changes in gait, enabling early identification of physical changes in the aging population. The project will leverage advanced machine learning...
- This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program provides $302,668 to Hominin.ai Inc. to develop a software system for real-time monitoring of user health through movement analysis using commercially available wireless headphones. The goal is to translate ordinary human walking patterns into movement-based biomarkers that can identify early indicators of musculoskeletal or neurological diseases, predict health...
- The National Institute on Aging (NIA) awarded a $613,823 Project Grant under the Aging Research federal grant program (CFDA 93.866) to The Trustees of the University of Pennsylvania, doing business as the Clinical Practices of the University of Pennsylvania. The purpose of this 5-year grant, beginning September 1, 2025, is to assess the effectiveness of the SENSE4SAFETY technology-supported intervention in reducing fall risk for community-dwelling older adults with mild cognitive impairment. The...
- This Cooperative Agreement awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $1,003,730.00 in funding to Intellisafe Analytics LLC for the development of a comprehensive, human-centered safety system using physiological and behavioral sensing to identify hazards and predict and prevent workplace accidents. The project aims to better protect workers from hazards through the use of wearable technology to...
- This $1,014,608 cooperative agreement from the National Science Foundation will support Evolution Devices Inc. in developing a cost-effective markerless motion 3D-tracking system for gait analysis. Under the NSF's Technology, Innovation, and Partnerships program (CFDA 47.084), the awardee will address barriers that restrict comprehensive gait analysis to only a few clinical centers. Technical activities include expanding the motion database to include diverse populations like children and...
- This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $1,000,000 to the University of Wisconsin System for a project titled "Utilizing Emerging Technologies to Support Aging in Place". The project aims to develop new methods for efficient, accurate, and affordable home assessments using 3D sensing, augmented reality, and machine learning. This will enable older adults and people with disabilities to...
This National Science Foundation (NSF) Cooperative Agreement awarded under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $1,230,163 to support the development of an AI-based video assessment app for remote, accessible fall risk assessment and personalized exercise programs for older adults. The project, led by Foresightcares Inc. in Matthews, North Carolina, aims to empower older adults to maintain independence and improve their quality of life by addressing the significant health and economic impacts of falls, which cost the U.S. $50B annually. The innovative AI and computer vision technologies create a camera-agnostic, privacy-focused solution for accurate, real-time fall risk assessment across smart devices. This project has the potential to lower healthcare costs by reducing fall-related hospitalizations, rehabilitation expenses, and long-term care admissions. The award period runs from Sep 2025 to Aug 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.2m | 9/4/25 |