Identification of biological significance using brain activity data is a research hotspot in neuroscience theory and practice.The emotional recognition and study of the correlation between emotions and brain mechanisms based on electroencephalograms (EEGs) are important topics in the fields of neuroscience and biomedical engineering.In this study,the emotional state of a subject was evaluated using EEG signalscollected using the MindWave Mobile 2EEG headphone,and the "clueless" mind wave was monitored as well.An experimental study on improving the state of anxiety by auditory excitation was conducted.Auditory signal stimulation was achieved with specific antique Chinese pure music sets,which stimulated the emotional state of calm relaxation in the subjects.Thus,their anxiety was reduced,and the possible relationship between music and emotion was derived.In the future,brain-computer interface (BCI) technology can help meet the more advanced emotional recognition needs of patients with specific diseases (such as ALS,cerebral palsy,brainstem stroke,and spinal cord injury) via EEG analysis of their preferences for aspects such as choice of music.Thus,a more user-friendly and intelligent BCI system,with good application prospects in the field of medical rehabilitation,could be designed.