TY - GEN
T1 - Fusion of Time and Frequency Domain Attributes for the Automated Recognition of Emotion using EEG Recordings
AU - Maithri, M.
AU - Raghavendra, U.
AU - Gudigar, Anjan
AU - Sambrama,
AU - Praharaj, Samir Kumar
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Emotions have a significant impact on a person's behavior. Expression reflects how people perceive events, interactions, and judgment. It is possible to identify emotions and categorize them using several techniques, including electroencephalography (EEG) signals, gestures, facial expressions, speech patterns, etc. However, emotion recognition using physiological signals has gained popularity owing to its authenticity. In this study, 54 attributes were extracted from each EEG channel to gather emotional information. These attributes were then fed to multiple classifiers and the results were compared. The study attained a maximum accuracy of 89.52% for channel T7 - 24 using ensemble bagged tree classifiers.
AB - Emotions have a significant impact on a person's behavior. Expression reflects how people perceive events, interactions, and judgment. It is possible to identify emotions and categorize them using several techniques, including electroencephalography (EEG) signals, gestures, facial expressions, speech patterns, etc. However, emotion recognition using physiological signals has gained popularity owing to its authenticity. In this study, 54 attributes were extracted from each EEG channel to gather emotional information. These attributes were then fed to multiple classifiers and the results were compared. The study attained a maximum accuracy of 89.52% for channel T7 - 24 using ensemble bagged tree classifiers.
UR - https://www.scopus.com/pages/publications/85186654438
UR - https://www.scopus.com/pages/publications/85186654438#tab=citedBy
U2 - 10.1109/OCIT59427.2023.10430706
DO - 10.1109/OCIT59427.2023.10430706
M3 - Conference contribution
AN - SCOPUS:85186654438
T3 - OCIT 2023 - 21st International Conference on Information Technology, Proceedings
SP - 249
EP - 253
BT - OCIT 2023 - 21st International Conference on Information Technology, Proceedings
A2 - Rachakonda, Laavanya
A2 - Ray, Niranjan K.
A2 - Sisodia, Dilip Singh
A2 - Rout, Jitendra Kumar
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st OITS International Conference on Information Technology, OCIT 2023
Y2 - 13 December 2023 through 15 December 2023
ER -