A review of artificial intelligence methods enabled music-evoked EEG emotion recognition and their applications DOI Creative Commons

Yan Su,

Yong Liu, Yan Xiao

и другие.

Frontiers in Neuroscience, Год журнала: 2024, Номер 18

Опубликована: Сен. 4, 2024

Music is an archaic form of emotional expression and arousal that can induce strong experiences in listeners, which has important research practical value related fields such as emotion regulation. Among the various recognition methods, music-evoked method utilizing EEG signals provides real-time direct brain response data, playing a crucial role elucidating neural mechanisms underlying music-induced emotions. Artificial intelligence technology greatly facilitated on AI algorithms have ushered new era for extraction characteristic frequency identification novel feature signals. The robust computational capabilities provided fresh perspectives development innovative quantitative models emotions, tailored to paradigms. discourse surrounding context classification gaining momentum, with their applications music therapy, neuroscience, social activities increasingly coming under spotlight. Through in-depth analysis complete process induced by through electroencephalography (EEG) signals, we systematically elucidated influence pertinent issues. This offers trove approaches could pave way future endeavors.

Язык: Английский

A review of artificial intelligence methods enabled music-evoked EEG emotion recognition and their applications DOI Creative Commons

Yan Su,

Yong Liu, Yan Xiao

и другие.

Frontiers in Neuroscience, Год журнала: 2024, Номер 18

Опубликована: Сен. 4, 2024

Music is an archaic form of emotional expression and arousal that can induce strong experiences in listeners, which has important research practical value related fields such as emotion regulation. Among the various recognition methods, music-evoked method utilizing EEG signals provides real-time direct brain response data, playing a crucial role elucidating neural mechanisms underlying music-induced emotions. Artificial intelligence technology greatly facilitated on AI algorithms have ushered new era for extraction characteristic frequency identification novel feature signals. The robust computational capabilities provided fresh perspectives development innovative quantitative models emotions, tailored to paradigms. discourse surrounding context classification gaining momentum, with their applications music therapy, neuroscience, social activities increasingly coming under spotlight. Through in-depth analysis complete process induced by through electroencephalography (EEG) signals, we systematically elucidated influence pertinent issues. This offers trove approaches could pave way future endeavors.

Язык: Английский

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