Emotion Recognition And APP Implementation Based On Wearable EEG Equipment

Emotions play an important role in the way of people’s thinking and behavior.The goal of emotion recognition is to enable the system to recognize people’s emotions,thereby improving the user’s emotional state and quality of life.Because EEG is most closely related to emotions and has real-time differences compared to other physiological signals,it has become the preferred method for studying emotions.In addition,wearable EEG equipment solves the problem of expensive and complicated operation of traditional EEG equipment used in laboratory,and can be used to collect EEG signals in daily life.A wearable EEG device was selected and used to study emotional recognition based on EEG signals.And a system is built including wearable EEG,emotion recognition,and APP applications.The specific research work is described as follows:(1)Mindeep,a wearable EEG device,is compared with the large professional EEG equipment,i.e.,NeuroScan in terms of comfort,wearing time,signal correlation and neurological phenomenon.The final result shows that Mindeep is more convenient and comfortable compared to NeuroScan.In addition,although Mindeep is susceptible to some noise in the time domain,its frequency domain results are highly correlated with NeuroScan.(2)The video-based emotion-induced experiment was designed to collect EEG signals from the subjects in both positive and negative emotional states.Eight,12 and 20 features were extracted based on frontal EEG asymmetry,MSE and EEMD,respectively.The results showed that the average classification accuracy of the three features combined for SVM classifier is the highest,which is 81.25%.The classification model with the highest accuracy is taken as the optimal model,and the performance of the ROC curve is evaluated.The obtained AUC value is 0.90,which proves that the performance of the classifier is excellent.(3)The Android-based APP is developed,and its main functions are: receiving EEG data collected by the wearable EEG device and displaying it in real time on the APP interface,and transmitting EEG data to the server for emotion recognition,and finally displaying the analysis results returned by the server.(4)A system is constructed by combining the APP client with the above-mentioned research on wearable EEG devices and emotion recognition.The system was tested by joint debugging,and the results showed that it basically realized the research objectives of real-time acquisition,real-time analysis and real-time display.