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Development of an Artificial Intelligence System to Prevent Overexertion Injuries at the Workplace (305358)
Rosa Fuentes, Texas State University
*Summer Renee Jeter, Texas State University
Francis A. Méndez Mediavilla, Texas State University
Trent Stapleton, Texas State University
Keywords: overexertion, fatigue, prevent, injuries, artificial intelligence system, analysis, success rate
The main goal of this study is to develop an artificial intelligence system that will assists workers by advising them when the amount of fatigue reaches levels that could result in injuries due to overexertion. The system will be created using data from various sources: motion data tracked from a motion capture system, self-reported fatigue data, and expert evaluation of motion and exertion by specialists in health and human performance. The project is a collaboration between the Computer Information Systems and Quantitative Methods, the Electrical and Computer Engineering, and the Health & Human Performance programs at Texas State University. Using motion capture cameras and biometric sensors, data will be collected on a variety of human subjects simulating a material handling process. These data will be analyzed to determine the level of exertion of the individual. A long-term goal is to use this information to simulate labor-intensive operations in manufacturing to improve safety and productivity.