Miner fatigue recognition method for mining helmet based on brain-computer interface

Abstract

The invention discloses a miner fatigue recognition method for a mining helmet based on a brain-computer interface. The method comprises the steps of 1 obtaining original brain wave signal; 2 performing original brain wave signal denoising; 3 performing brain wave feature extracting; 4 performing BP neural network training, 401 performing BP neural network initializing, 402 obtaining a training input sample set and setting an expected output vector, 403 training hidden layer input, hidden layer output, output layer input and output layer output through a monitoring host, 404 calculating an actual error, 405 judging whether or not the actual error is smaller than or equal to an actual error threshold, 406 setting the learning frequency and judging whether the learning frequency is completedor not, 407 correcting a connecting weight, and 408 completing BP neural network training; 5, recognizing the miner fatigue. The high-precision brain wave signal is obtained through original brain wave signal denoising, the brain wave energy fluctuation relation is adopted for quantifying the miner mental state to be adopted as a BP network input signal, and the miner fatigue recognition accuracyis high.

Description

technical field [0001] The invention belongs to the technical field of miner fatigue recognition, and in particular relates to a miner fatigue recognition method based on a brain-computer interface mining helmet. Background technique [0002] my country is the largest coal-producing country in the world, but high production is accompanied by a high accident rate. According to statistics, 80% of production accidents in coal enterprises are caused by unsafe behaviors of miners. In the underground ultra-quiet, low-brightness space intermittent independent operations, miners' physical and psychological fatigue is an important factor leading to unsafe behaviors. At present, the helmets worn by underground personnel in my country's coal industry only have the function of protecting the human head from being hit and injured by foreign objects to a certain extent. It is still difficult to grasp whether the physical and psychological conditions of coal mine workers are suitable for c...

AI Technical Summary

Problems solved by technology

At present, the helmets worn by underground personnel in my country's coal industry only have the function of protecting the human head from being hit and injured by foreign objects to a certain extent. It is still difficult to grasp whether the physical and psychological conditions of coal mine workers are suitable for corresponding post operations. Detection of Miner Fatigue

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