Multi-subject subspace alignment for non-stationary EEG-based emotion recognition-Reference-Cited by-同舟云学术

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Multi-subject subspace alignment for non-stationary EEG-based emotion recognition

Published:2018-05-29 Issue: Volume:26 Page:327-335
ISSN:0928-7329
Container-title:Technology and Health Care
language:
Short-container-title:THC

Author:

Chai Xin¹,Wang Qisong¹,Zhao Yongping¹,Liu Xin²,Liu Dan¹,Bai Ou³

Affiliation:

1. School of Electrical Engineering and Automaton, Harbin Institute of Technology, Harbin, Heilongjiang, China

2. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China

3. Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

Reference17 articles.

1. ECG pattern analysis for emotion detection;Agrafioti;IEEE Transactions on Affective Computing,2012

2. Design of a wearable device for reading positive expressions from facial EMG signals;Gruebler;IEEE Transactions on Affective Computing,2014

3. EEG-based workload estimation across affective contexts;Mühl;Frontiers in Neuroscience,2014

4. Classification of human emotion from EEG using discrete wavelet transform;Murugappan;Engineering,2010

5. Towards a robust BCI: Error potentials and online learning;Buttfield;IEEE Trans Neural Syst Rehabil Eng,2006

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods;Neurocomputing;2024-11

2. A novel methodology for emotion recognition through 62-lead EEG signals: multilevel heterogeneous recurrence analysis;Frontiers in Physiology;2024-07-25

3. Modality- and Subject-Aware Emotion Recognition Using Knowledge Distillation;IEEE Access;2024

4. A systematic literature review of emotion recognition using EEG signals;Cognitive Systems Research;2023-12

5. An Advanced Data Augmentation Scheme on Limited EEG Signals for Human Emotion Recognition;Lecture Notes in Electrical Engineering;2023

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