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Emotion Recognition Using Multimodal Deep Learning · Study

WorkEmotion Recognition Using Multimodal Deep Learning

Wei‐Long Zheng2016

Work2016

Emotion Recognition Using Multimodal Deep Learning

Wei‐Long Zheng · Bao‐Liang Lu

301 citations·0/0 files stored·Lecture notes in computer science

No readable copy stored yet — this record is metadata only.

Emotion and Mood Recognition EEG and Brain-Computer Interfaces Sentiment Analysis and Opinion Mining

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 301 citations exist upstream.

References

2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals 2015Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks 2013Differential entropy feature for EEG-based emotion classification 2013Emotional state classification from EEG data using machine learning approach 2009Emotion classification based on gamma-band EEG 2013Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals 2010Real-Time EEG-Based Human Emotion Recognition and Visualization

Cited by

2018Using Deep Convolutional Neural Network for Emotion Detection on a Physiological Signals Dataset (AMIGOS)2019Emotion Recognition from Multiband EEG Signals Using CapsNet 2020EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network 2019SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG 2019Deep Learning for Human Affect Recognition: Insights and New Developments 2022Investigating EEG-based functional connectivity patterns for multimodal emotion recognition 2021Emotion recognition based on EEG feature maps through deep learning network 2018Emotion recognition from multichannel EEG signals using K-nearest neighbor classification

Details

Year2016

Typeother

Published2016-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations301

Files0 public / 0

ShelfEmotion and Mood Recognition

Identifiers

doi10.1007/978-3-319-46672-9_58

openalex_workW2525648609

Links

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