Cargando…
A Transductive Model-based Stress Recognition Method Using Peripheral Physiological Signals
Existing research on stress recognition focuses on the extraction of physiological features and uses a classifier that is based on global optimization. There are still challenges relating to the differences in individual physiological signals for stress recognition, including dispersed distribution...
Autores principales: | Li, Minjia, Xie, Lun, Wang, Zhiliang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359102/ https://www.ncbi.nlm.nih.gov/pubmed/30669646 http://dx.doi.org/10.3390/s19020429 |
Ejemplares similares
-
Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological Signals
por: Campbell, Evan, et al.
Publicado: (2019) -
Modeling signal transduction in synaptic plasticity: comparison of models and methods
por: Manninen, Tiina, et al.
Publicado: (2010) -
Editorial: Hormone Action and Signal Transduction in Endocrine Physiology and Disease
por: Balla, Tamas, et al.
Publicado: (2020) -
A Review of Emotion Recognition Using Physiological Signals
por: Shu, Lin, et al.
Publicado: (2018) -
Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition
por: Gouverneur, Philip, et al.
Publicado: (2021)