Cargando…
Emotional State Recognition from Peripheral Physiological Signals Using Fused Nonlinear Features and Team-Collaboration Identification Strategy
Emotion recognition realizing human inner perception has a very important application prospect in human-computer interaction. In order to improve the accuracy of emotion recognition, a novel method combining fused nonlinear features and team-collaboration identification strategy was proposed for emo...
Autores principales: | Pan, Lizheng, Yin, Zeming, She, Shigang, Song, Aiguo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517002/ https://www.ncbi.nlm.nih.gov/pubmed/33286283 http://dx.doi.org/10.3390/e22050511 |
Ejemplares similares
-
A Novel Robot-Aided Upper Limb Rehabilitation Training System Based on Multimodal Feedback
por: Pan, Lizheng, et al.
Publicado: (2019) -
Cross-Subject Emotion Recognition Using Fused Entropy Features of EEG
por: Zuo, Xin, et al.
Publicado: (2022) -
Emotion Recognition Based on Multichannel Physiological Signals with Comprehensive Nonlinear Processing
por: Zhang, Xingxing, et al.
Publicado: (2018) -
Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological Signals
por: Campbell, Evan, et al.
Publicado: (2019) -
Feature Pyramid Networks and Long Short-Term Memory for EEG Feature Map-Based Emotion Recognition
por: Zhang, Xiaodan, et al.
Publicado: (2023)