Cargando…
Automatic Assessment of Emotion Dysregulation in American, French, and Tunisian Adults and New Developments in Deep Multimodal Fusion: Cross-sectional Study
BACKGROUND: Emotion dysregulation is a key dimension of adult psychological functioning. There is an interest in developing a computer-based, multimodal, and automatic measure. OBJECTIVE: We wanted to train a deep multimodal fusion model to estimate emotion dysregulation in adults based on their res...
Autores principales: | Parra, Federico, Benezeth, Yannick, Yang, Fan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822434/ https://www.ncbi.nlm.nih.gov/pubmed/35072643 http://dx.doi.org/10.2196/34333 |
Ejemplares similares
-
Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training
por: Bi, Yanjing, et al.
Publicado: (2021) -
Correction: Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training
por: Bi, Yanjing, et al.
Publicado: (2023) -
Emotional outcomes in tunisian stroke survivors
por: Charfi, N., et al.
Publicado: (2021) -
Performance analysis of remote photoplethysmography deep filtering using long short-term memory neural network
por: Botina-Monsalve, Deivid, et al.
Publicado: (2022) -
Fusion of Facial Expressions and EEG for Multimodal Emotion Recognition
por: Huang, Yongrui, et al.
Publicado: (2017)