The National Science Foundation (NSF) awarded a $273,369 Project Grant to Intellisafe Analytics LLC for a Small Business Innovation Research (SBIR) Phase I project titled "Comprehensive, Human-Centered, Safety System Using Physiological and Behavioral Sensing to Predict and Prevent Workplace Accidents". The goal of this project is to develop a safety system that uses wearable technology to continuously collect real-time physiological and behavioral data from workers, and applies machine learning models to identify safety incidents and predict the likelihood of accidents. This innovative approach aims to enable the prediction and prevention of workplace accidents, which account for a significant portion of workplace injuries. The intellectual merit of the research includes verifying human responses to slips and trips, developing machine learning models to identify these safety incidents, and assessing future accident risk to provide real-time alerts. This SBIR Phase I project is funded through the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program, which supports convergent research and development to translate scientific discoveries into commercially viable technologies and solutions.
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