A federated learning method for real-time emotion state classification from multi-modal streaming-Reference-Cited by-同舟云学术

A federated learning method for real-time emotion state classification from multi-modal streaming

Published:2022-08 Issue: Volume:204 Page:340-347
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Nandi Arijit,Xhafa Fatos

Funder

Agencia per la Competitivitat de l'empresa

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Reference20 articles.

1. Affect-expressive movement generation with factored conditional restricted boltzmann machines;Alemi,2015

2. D. Ayata, Y. Yaslan, Kamasak, E. Mustafa, Emotion recognition from multimodal physiological signals for emotion aware healthcare systems, J. Med. Biol. Eng., 2020, 149–157.

3. Emotion recognition via random forest and galvanic skin response: Comparison of time based feature sets, window sizes and wavelet approaches;Ayata;Medical Technologies National Congress,2016

4. Moa: Massive online analysis;Bifet;J. Mach. Learn. Res.,2010

5. Emotion assessment using feature fusion and decision fusion classification based on physiological data: Are we there yet?;Bota,2020

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