首页|"Real-Time Assessment Of Worker Fatigue Using Learning- Based Model" in Patent Ap plication Approval Process (USPTO 20240161029)
"Real-Time Assessment Of Worker Fatigue Using Learning- Based Model" in Patent Ap plication Approval Process (USPTO 20240161029)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventors BALADHANDAPANI, Gobinathan (Madurai, IN); KANAGARAJAN, Sivakumar (Bangalore, IN) ; LINDSEY, Wade (Canton, GA, US), filed on January 12, 2023, was made available online on May 16, 2024, according to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "Fatigue in the workplace may lead to reduced qu ality and lower productivity. In certain workplaces, such as industrial faciliti es like factories and warehouses, working conditions are such that a fatigued wo rker may also introduce safety concerns. For example, driving a forklift is a de manding job that can all too easily lead to operator fatigue and distraction due to the repetitive nature of the work and the pressure to meet fulfilment deadli nes. Even a momentary loss of concentration by an operator caused by tiredness m ay introduce safety hazards that should be mitigated. Monitoring and predicting fatigue so that mitigating steps may be taken would reduce the costs and hardshi ps to workers associated with mental and physical fatigue in the workplace and h elp increase safety. However, monitoring fatigue has proven difficult because th ere are many factors that may indicate the onset of fatigue in a worker, and the means of monitoring worker fatigue may be cumbersome and/or intrusive.
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