Empirical study of emotion measurement in autistic children under EEG channel selection
Channel selection-based EEG emotion recognition and measurement has become a new research method for emotion measurement because it can reduce data dimensions and computation time,but channel selection-based EEG emotion recognition is rarely used in special populations.In this paper,the emotion measurement of special populations is demand-oriented,autistic children are the target group,and the EEG signals are used as emotional information,and the feasibility and accuracy of the"EEG Signal Emotion Measurement Model for Children with Autism Based on Channel Selection"constructed by the author in the previous period are verified in the real environment,and the model verification results show that the accuracy rate is 76.3%in the valence dimension and 76.4%in the arousal dimension The experimental results confirmed the feasibility of using DEAP dataset and channel selection to construct an EEG emotion measurement model for children with autism.
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