Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems - Studies in Computational Intelligence
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(FIVE YEARS 14)

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Published By Springer International Publishing

9783030615765, 9783030615772

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Correction to: Dynamic Emotion Understanding Based on Two-Layer Fuzzy Support Vector Regression-Takagi-Sugeno Model

Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems - Studies in Computational Intelligence ◽

10.1007/978-3-030-61577-2_14 ◽

2021 ◽

pp. C1-C1

Author(s):

Luefeng Chen ◽

Min Wu ◽

Witold Pedrycz ◽

Kaoru Hirota

Keyword(s):

Support Vector Regression ◽

Emotion Understanding ◽

Support Vector ◽

Sugeno Model ◽

Takagi Sugeno

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Three-Layer Weighted Fuzzy Support Vector Regressions for Emotional Intention Understanding

Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems - Studies in Computational Intelligence ◽

10.1007/978-3-030-61577-2_9 ◽

2020 ◽

pp. 133-159

Author(s):

Luefeng Chen ◽

Min Wu ◽

Witold Pedrycz ◽

Kaoru Hirota

Keyword(s):

Support Vector ◽

Intention Understanding

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Deep Sparse Autoencoder Network for Facial Emotion Recognition

Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems - Studies in Computational Intelligence ◽

10.1007/978-3-030-61577-2_3 ◽

2020 ◽

pp. 25-39

Author(s):

Luefeng Chen ◽

Min Wu ◽

Witold Pedrycz ◽

Kaoru Hirota

Keyword(s):

Emotion Recognition ◽

Facial Emotion Recognition ◽

Facial Emotion ◽

Sparse Autoencoder

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Emotion-Age-Gender-Nationality Based Intention Understanding Using Two-Layer Fuzzy Support Vector Regression

Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems - Studies in Computational Intelligence ◽

10.1007/978-3-030-61577-2_11 ◽

2020 ◽

pp. 183-214

Author(s):

Luefeng Chen ◽

Min Wu ◽

Witold Pedrycz ◽

Kaoru Hirota

Keyword(s):

Support Vector Regression ◽

Support Vector ◽

Intention Understanding

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Emotional Human-Robot Interaction Systems

Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems - Studies in Computational Intelligence ◽

10.1007/978-3-030-61577-2_12 ◽

2020 ◽

pp. 215-222

Author(s):

Luefeng Chen ◽

Min Wu ◽

Witold Pedrycz ◽

Kaoru Hirota

Keyword(s):

Human Robot Interaction ◽

Robot Interaction

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Two-Stage Fuzzy Fusion Based-Convolution Neural Network for Dynamic Emotion Recognition

Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems - Studies in Computational Intelligence ◽

10.1007/978-3-030-61577-2_7 ◽

2020 ◽

pp. 91-114

Author(s):

Luefeng Chen ◽

Min Wu ◽

Witold Pedrycz ◽

Kaoru Hirota

Keyword(s):

Neural Network ◽

Emotion Recognition ◽

Convolution Neural Network ◽

Two Stage ◽

Fuzzy Fusion

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Weight-Adapted Convolution Neural Network for Facial Expression Recognition

Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems - Studies in Computational Intelligence ◽

10.1007/978-3-030-61577-2_5 ◽

2020 ◽

pp. 57-75

Author(s):

Luefeng Chen ◽

Min Wu ◽

Witold Pedrycz ◽

Kaoru Hirota

Keyword(s):

Neural Network ◽

Facial Expression ◽

Facial Expression Recognition ◽

Convolution Neural Network ◽

Expression Recognition

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Multi-modal Emotion Feature Extraction

Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems - Studies in Computational Intelligence ◽

10.1007/978-3-030-61577-2_2 ◽

2020 ◽

pp. 15-23

Author(s):

Luefeng Chen ◽

Min Wu ◽

Witold Pedrycz ◽

Kaoru Hirota

Keyword(s):

Feature Extraction

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Dynamic Emotion Understanding Based on Two-Layer Fuzzy Fuzzy Support Vector Regression-Takagi-Sugeno Model

Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems - Studies in Computational Intelligence ◽

10.1007/978-3-030-61577-2_10 ◽

2020 ◽

pp. 161-182

Author(s):

Luefeng Chen ◽

Min Wu ◽

Witold Pedrycz ◽

Kaoru Hirota

Keyword(s):

Support Vector Regression ◽

Emotion Understanding ◽

Support Vector ◽

Sugeno Model ◽

Takagi Sugeno

Download Full-text

Experiments and Applications of Emotional Human-Robot Interaction Systems

Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems - Studies in Computational Intelligence ◽

10.1007/978-3-030-61577-2_13 ◽

2020 ◽

pp. 223-244

Author(s):

Luefeng Chen ◽

Min Wu ◽

Witold Pedrycz ◽

Kaoru Hirota

Keyword(s):

Human Robot Interaction ◽

Robot Interaction

Download Full-text

Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Correction to: Dynamic Emotion Understanding Based on Two-Layer Fuzzy Support Vector Regression-Takagi-Sugeno Model

Three-Layer Weighted Fuzzy Support Vector Regressions for Emotional Intention Understanding

Deep Sparse Autoencoder Network for Facial Emotion Recognition

Emotion-Age-Gender-Nationality Based Intention Understanding Using Two-Layer Fuzzy Support Vector Regression

Emotional Human-Robot Interaction Systems

Two-Stage Fuzzy Fusion Based-Convolution Neural Network for Dynamic Emotion Recognition

Weight-Adapted Convolution Neural Network for Facial Expression Recognition

Multi-modal Emotion Feature Extraction

Dynamic Emotion Understanding Based on Two-Layer Fuzzy Fuzzy Support Vector Regression-Takagi-Sugeno Model

Experiments and Applications of Emotional Human-Robot Interaction Systems

Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems - Studies in Computational Intelligence
Latest Publications