Center of Gravity Tracker for Operator Fatigue Detection
Elliot Owen, Tomohiro Maeda, Ziwen Jiang, Isaiah Udotong, Erik Hornberger, Junichi Morita, Gim Hom, Nevan C. Hanumara
Abstract
Elliot Owen, Tomohiro Maeda, Ziwen Jiang, Isaiah Udotong, Erik Hornberger, Junichi Morita, Gim Hom, Nevan C. Hanumara
Abstract
Driver fatigue is a cause of serious accidents for heavy machinery operators. Monitoring operator position, as indicated by their Center of Gravity (CoG), may be a means to non-invasively detect driver fatigue. We prototyped a research tool that tracks CoG from four sensors located within the legs of a seat, and validated its accuracy and precision. Our primary contributions are the development of a low-cost integrated CoG detector for seated drivers and the design of a flexure structure to protect load cells from shocks, tensile and shear forces. This system will enable research into CoG as an indicator of fatigue.
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Driver fatigue is a cause of serious accidents for heavy machinery operators. Monitoring operator position, as indicated by their Center of Gravity (CoG), may be a means to non-invasively detect driver fatigue. We prototyped a research tool that tracks CoG from four sensors located within the legs of a seat, and validated its accuracy and precision. Our primary contributions are the development of a low-cost integrated CoG detector for seated drivers and the design of a flexure structure to protect load cells from shocks, tensile and shear forces. This system will enable research into CoG as an indicator of fatigue.
Key concepts: Center of gravity, Cog, Computer science, Operator (biology), Detector, Position (finance), Simulation, Structural engineering