I-Corps: Translation Potential of Integrating Advanced Health Monitoring in Custom-Fit Smart Clothing
- Institution
- University of Rhode Island, RI
- Principal investigator
- Kunal Mankodiya
- Funding
- $50K
- Duration
- 2024–2025
Moonbase score
Still being scored
Abstract
The broader impact of this I-Corps project is the development of advanced smart clothing technology that offers integrated physiological monitoring for athletes and sports professionals. This innovation addresses critical gaps in current monitoring systems by combining multiple sensing capabilities within custom wearable garments. The technology continuously tracks various vital signs including heart rate, respiration, and other physiological parameters, providing actionable insights for optimizing performance and reducing risk of injury. With significant commercial potential in the expanding sports technology market, this solution supports data-driven training regimens that could reduce injuries and improve recovery strategies. Beyond athletics, the smart monitoring system holds promise for applications in other fields requiring endurance tracking, potentially benefiting occupational health and wellness. This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. This solution is based on the development of novel textile-based sensors, which include specialized dry electrodes and modular electronics embedded in everyday clothing. The technology builds upon established biomedical research and recent advances in smart textile engineering. A key innovation is a body scanning method that ensures custom fitting for sensor placement and user comfort, enhancing both data accuracy and the overall user experience. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
LOADING MOONBASE SCORE
Questions for University of Rhode Island
Answered by the team behind this research.
No questions yet. Sign in to ask the first one
Related grants
Same researchers, same institution, same topic, scored first.
- NSF · University of Rhode IslandNot yet scored
NSF-DST: CPS: TTP Option: RE-GAIN: An Adaptive, Medical CPS Platform Integrating E-Textile Wearables, Virtual Reality, and AI for Stroke Rehabilitation
Kunal Mankodiya · $500K · 2024–2027
- NSF · University of Rhode Island49
LEAPS-MPS: Hadamard Deep Autoencoders and Alternating Directional Methods of Multipliers for Manifold Learning Enabled Distance Preserving Matrix Completion
Kelum Gajamannage · $250K · 2024–2026
- NSF · University of Rhode Island48
Advancing Gravitational Wave Inference and Waveform Modeling with Deep Learning
Michael Puerrer · $150K · 2025–2028