Brain-Computer Interface (BCI) allows machines to be controlled by signals derived from EEG analysis. Several low-cost electroencephalographs are now available on the market, all of which provide high-quality Electroencephalogram (EEG) signals. Detecting a user’s emotional state by analysing their EEG signal is a fascinating approach in this field. In our research, we have attempted to detect the emotional state of nine different emotions. Our research presents a working prototype of an EEG-based emotion recognizer that can be used as biofeedback to provide information about the user’s emotional state.
Towards a Neurofeedback Tool For Emotion Recognition Using Brain Computer Interface / Ardito, C.; Colafiglio, T.; Di Noia, T.; Lombardi, A.; Lofu, D.; Narducci, F.; Sorino, P.. - 2188:(2025), pp. 89-98. ( 4th International Workshop on Big Data Driven Edge Cloud Services, BECS 2024 and 3rd International Workshop on Web Applications for Life Sciences, WALS 2024 held in conjunction with the International Conference on Web Engineering, ICWE 2024 fin ) [10.1007/978-3-031-75110-3_8].
Towards a Neurofeedback Tool For Emotion Recognition Using Brain Computer Interface
Ardito C.
Primo
Conceptualization
;Colafiglio T.
Secondo
Conceptualization
;Lombardi A.Membro del Collaboration Group
;
2025
Abstract
Brain-Computer Interface (BCI) allows machines to be controlled by signals derived from EEG analysis. Several low-cost electroencephalographs are now available on the market, all of which provide high-quality Electroencephalogram (EEG) signals. Detecting a user’s emotional state by analysing their EEG signal is a fascinating approach in this field. In our research, we have attempted to detect the emotional state of nine different emotions. Our research presents a working prototype of an EEG-based emotion recognizer that can be used as biofeedback to provide information about the user’s emotional state.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
