Cargando…
Subject-independent emotion recognition based on physiological signals: a three-stage decision method
BACKGROUND: Collaboration between humans and computers has become pervasive and ubiquitous, however current computer systems are limited in that they fail to address the emotional component. An accurate understanding of human emotions is necessary for these computers to trigger proper feedback. Amon...
Autores principales: | Chen, Jing, Hu, Bin, Wang, Yue, Moore, Philip, Dai, Yongqiang, Feng, Lei, Ding, Zhijie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751758/ https://www.ncbi.nlm.nih.gov/pubmed/29297324 http://dx.doi.org/10.1186/s12911-017-0562-x |
Ejemplares similares
-
Exploring EEG Features in Cross-Subject Emotion Recognition
por: Li, Xiang, et al.
Publicado: (2018) -
Subject-Independent EEG Emotion Recognition Based on Genetically Optimized Projection Dictionary Pair Learning
por: Su, Jipu, et al.
Publicado: (2023) -
A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors
por: Al Machot, Fadi, et al.
Publicado: (2019) -
A Review of Emotion Recognition Using Physiological Signals
por: Shu, Lin, et al.
Publicado: (2018) -
A Survey on Physiological Signal-Based Emotion Recognition
por: Ahmad, Zeeshan, et al.
Publicado: (2022)