Multimodal Physiological Signals Fusion for Online Emotion Recognition

Author:

Pan Tongjie1ORCID,Ye Yalan1ORCID,Cai Hecheng2ORCID,Huang Shudong2ORCID,Yang Yang1ORCID,Wang Guoqing1ORCID

Affiliation:

1. University of Electronic Science and Technology of China, Chengdu, China

2. Sichuan University, Chengdu, China

Funder

Sichuan Science and Technology Program under grant

Sichuan University West China Nursing Discipline Development Special Fund Project

Health Department of Sichuan Province of China

National Natural Science Foundation of China

Science & Technology Department of Sichuan Province

Open Fund of Key Laboratory of Flight Techniques and Flight Safety, CAAC

Publisher

ACM

Reference54 articles.

1. Manju Priya Arthanarisamy Ramaswamy and Suja Palaniswamy . 2022. Subject independent emotion recognition using EEG and physiological signals--a comparative study. Applied Computing and Informatics ( 2022 ). Manju Priya Arthanarisamy Ramaswamy and Suja Palaniswamy. 2022. Subject independent emotion recognition using EEG and physiological signals--a comparative study. Applied Computing and Informatics (2022).

2. Emotion Recognition from Multimodal Physiological Signals for Emotion Aware Healthcare Systems

3. Multimodal machine learning: A survey and taxonomy;Tadas Baltruvs;IEEE Transactions on Pattern Analysis and Machine Intelligence,2018

4. Evaluation of an integrated system of wearable physiological sensors for stress monitoring in working environments by using biological markers;Betti Stefano;IEEE Transactions on Biomedical Engineering,2017

5. Unsupervised domain adaptation techniques based on auto-encoder for non-stationary EEG-based emotion recognition

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