Study On The Multisensoring Intelligent Helmet Based On EEG For Mine Human

Miner's intelligent helmet as a mobile terminals of monitoring system is a new way of monitoring system to fully cover the complex environment of the mine.The design and the study of key technologies of intelligent mine helmet will make great contributions to the reduction mine accidents and casualties in the future.But in our country the promote and actual equipment of intelligent mine helmet far less than other developed countries.Most of these intelligent mine helmets are only equipped environment monitoring,voice calls and other functions,without functions of evaluation of Miners'mental state and negative emotions.A attempt to combine brain-computer interface technology and intelligent helmet technology in this paper.And we study and design an intelligent mine helmet which can detect the environmental parameters and miners' mental state.The main innovations in this paper as follow:1.We designed a evoked experiment of human's emotions.And the most active brain area was obtained by Analysis of experimental results.Base on 10-20 international electrode placement standard,the exact position of the EEG signal collection pole was designed.2.By analyzing the characteristics of different emotions' EEG rhythm,we defined an anxiety parameter,and also proposed the detection algorithm and calculation formula of this anxiety parameter.3.We build an intelligent helmet system based on brain-computer interface and Multi-sensor,which achieve the detection of environmental parameters Miners' mental state.And we designed host computer monitoring software,which base on Lab VIEW.The test results show that the evoked experiment can effectively evoke human's emotions and the mental state parameters can effectively respond to the users'mental state.The intelligent mine helmet system is stable and effective.The system proves the state.The intelligent mine helmet system is stable and effective.The system proves the feasibility of the application of brain-computer interface technology in intelligent mine helmet.