An Analysis Method Of Psychological Risk In Individual Combat Based On The Fusion Of EEG And Psychology

With the rapid development of science and technology,the modern army has gradually changed from traditional mechanization to scientific and technological transformation.In the modern war,countries pay more attention to modernization.Throughout the several large-scale local wars that has taken place in the world since the 1990 s,there is no doubt that the individual and scientific and technological operations run through the whole process of the war.The update of the modern war situation makes all countries in the world continue to invest a huge amount of military expenditure to strengthen the scientific and technological and modern construction of the army.Individual combat is one of the goals of modern scientific and technological army construction in various countries.In the individual combat,the study of the soldiers' physical state can effectively improve the survival rate and combat success rate of soldiers.At present,the study of individual combat physical state in various countries mainly focuses on the study of individual position and life state.However,the investigation shows that the stress caused by lack of experience and other factors will have a great impact on soldiers' lives and combat effectiveness.Therefore,it is necessary to study the psychological risk of individual soldiers in order to reduce the casualties and improve the victory index of the war.Aiming at the above problems,this paper proposes the method of EEG signal analysis and psychological calculation fusion to analyze the psychological risk in the process of individual combat.In the aspect of EEG signal analysis,wavelet denoising is used to deal with the artifacts and noises in the original EEG signal;empirical wavelet transform is used to extract the features of EEG signal and form the feature set;bidirectional search algorithm is used to select the feature subset to improve the accuracy and efficiency of classification;in the aspect of EEG signal classification,genetic algorithm is used to optimize the punishment of SVM Factors and kernel function parameters.In the aspect of psychological analysis,through the research of military psychology,the analytic hierarchy process of risk analysis is used to calculate the psychological risk.Finally,by integrating the psychological risks calculated by the two methods,we can get the final results of psychological risk analysis of individual combat.In order to verify the effectiveness of the above methods,this paper use online simulation to collect EEG signals and psychological data.It is proved by experiments that the method of EEG signals analysis and psychological calculation fusion proposed in this paper can effectively analyze the psychological risk in the process of individual combat,and can provide more effective basis of future war decision-making.