Zobrazeno 1 - 10
of 369
pro vyhledávání: '"Bao-Liang Lu"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 759-768 (2023)
Since Electroencephalogram (EEG) is resistant to camouflage, it has been a reliable data source for objective emotion recognition. EEG is naturally multi-rhythm and multi-channel, based on which we can extract multiple features for further processing
Externí odkaz:
https://doaj.org/article/d7ebcbfd507743dfb9d7085313e837cb
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 1288-1297 (2022)
Electroencephalogram(EEG) signals are generated from central nervous system which are difficult to disguise, leading to its popularity in emotion recognition. Recently,semi-supervisedlearning exhibits promisingemotion recognition performance by invol
Externí odkaz:
https://doaj.org/article/25f16afacbec4a0996c247d1173fd58b
Publikováno v:
IEEE Access, Vol 9, Pp 85071-85083 (2021)
Simplified Molecular Input Line Entry System (SMILES) provides a text-based encoding method to describe the structure of chemical species and formulize general chemical reactions. Considering that chemical reactions have been represented in a languag
Externí odkaz:
https://doaj.org/article/fc82ce5472db433cbdcbd4ea00f3310a
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. :1-15
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
IEEE Transactions on Affective Computing. 13:1941-1958
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 9:1612-1626
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:3349-3353
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 14:715-729
Multimodal signals are powerful for emotion recognition since they can represent emotions comprehensively. In this paper, we compare the recognition performance and robustness of two multimodal emotion recognition models: deep canonical correlation a
Publikováno v:
2023 11th International IEEE/EMBS Conference on Neural Engineering (NER).