A Pilot Study on the Music Regulation System of Autistic Children Based on EEG

Abstract

At present, the traditional music therapy for autistic children requires professional music therapists to carry out auxiliary therapy on the side of the patients, judge the emotional state of the children, and manually play the corresponding music for treatment according to the current emotional state. Traditional music therapy not only requires professional therapist to keep an eye on it and rely on professional experience to observe and judge the effect of music therapy on autistic children, but also makes mistakes in judgment because autistic children do not show their inner emotional activities. The system uses the EEG acquisition equipment of EMOTIVEPOC+14 channel to collect the brain waves of autistic children. The median negative emotions of normal people correspond to the impulsive outward emotions of autistic children, calm emotions, and restrained autistic emotions to conduct preliminary experiments. After the self-EEG signal is collected, the detail component threshold is denoised by wavelet decomposition, the SVM algorithm is used to classify the positive, neutral and negative emotions. According to the principle of playing homogeneous music, autistic children finally have a calm state, so as to achieve the purpose of music intervention therapy. The system visually displays the identified EEG signals to the interface, which can feedback the emotional state in real time, so that the effect of music therapy for autistic children can be systematically evaluated. In this paper, the EEG data of normal people are used to verify the feasibility of the system, and the classification accuracy is 88.8%.