Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Wenfen LING"'
Publikováno v:
智能科学与技术学报, Vol 3, Pp 76-84 (2021)
In recent years, physiological signals such as electroencephalograhpy (EEG) have gradually become popular objects of emotion recognition research because they can objectively reflect true emotions.However, the single-modal EEG signal has the problem
Externí odkaz:
https://doaj.org/article/44af144182a8464b953ca31f6a51ea84
Publikováno v:
智能科学与技术学报, Vol 3, Pp 65-75 (2021)
Emotion recognition is a direct and effective mode of emotion recognition.Machine learning relies on the formal representation of image expressions, lacks the cognitive representation ability of the brain, and has poor recognition performance on smal
Externí odkaz:
https://doaj.org/article/854514a65db24d7eafe7883b2dd0d74b
Publikováno v:
IFIP Advances in Information and Communication Technology
11th International Conference on Intelligent Information Processing (IIP)
11th International Conference on Intelligent Information Processing (IIP), Jul 2020, Hangzhou, China. pp.169-179, ⟨10.1007/978-3-030-46931-3_16⟩
IFIP Advances in Information and Communication Technology ISBN: 9783030469306
Intelligent Information Processing
11th International Conference on Intelligent Information Processing (IIP)
11th International Conference on Intelligent Information Processing (IIP), Jul 2020, Hangzhou, China. pp.169-179, ⟨10.1007/978-3-030-46931-3_16⟩
IFIP Advances in Information and Communication Technology ISBN: 9783030469306
Intelligent Information Processing
Part 5: Brain Computer Integration; International audience; How to improve the classification accuracy is a key issue in four-class motor imagery-based brain-computer interface (MI-BCI) systems. In this paper, a method based on phase synchronization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::654e3f4118ad22c66a6b61e9c82d7610
https://hal.inria.fr/hal-03456966
https://hal.inria.fr/hal-03456966
Publikováno v:
2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
Facial emotion is an important way for humans to convey the feeling and feed back to others. It is also a key component of human-computer interaction systems(HCISs). Naturally, facial emotion recognition(FER) has become a hot topic of current researc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::178e7412c231856b87e705ccdf61c24c
https://doi.org/10.1109/civemsa45640.2019.9071606
https://doi.org/10.1109/civemsa45640.2019.9071606
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811379857
ICCSIP (2)
ICCSIP (2)
Automatic facial emotion recognition plays an important role in human-computer interaction. Although humans can recognize emotions with little or no effort, reliable emotion recognition by machines is always a challenge. To explore the doubt that whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::918140ef7a2cb023307614f5066aae1e
https://doi.org/10.1007/978-981-13-7986-4_15
https://doi.org/10.1007/978-981-13-7986-4_15