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Adaptive Feature Selection-Based AdaBoost-KNN With Direct Optimization for Dynamic Emotion Recognition in Human–Robot Interaction
6 references·1 citing·33 second hop
Adaptive Feature Selection-Based AdaBoost-KNN With Direct Optimization for Dynamic Emotion Recognition in Human–Robot Interaction (2019)Adaptive Feature Selection-Based AdaBoost…Three-Layer Weighted Fuzzy Support Vector Regression for Emotional Intention Understanding in Human–Robot Interaction (2018)Three-Layer Weighted Fuzzy Su…Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction (2017)Softmax regression based deep…Dynamic Emotion Understanding in Human–Robot Interaction Based on Two-Layer Fuzzy SVR-TS Model (2017)Dynamic Emotion Understanding…Multimodal learning for facial expression recognition (2015)Multimodal learning for facia…Intelligent affect regression for bodily expressions using hybrid particle swarm optimization and adaptive ensembles (2015)Intelligent affect regression…A real-time automated system for the recognition of human facial expressions (2006)A real-time automated system …Human emotion recognition using Machine learning techniques based on the physiological signal (2024)Human emotion recognition usi…Emotion recognition in human-computer interaction (2001)Emotion and sociable humanoid robots (2003)Neural mechanisms for the recognition of biological movements (2003)Comprehensive database for facial expression analysis (2002)Real Time Face Detection and Facial Expression Recognition: Development and Applications to Human Computer Interaction. (2003)A Natural Visible and Infrared Facial Expression Database for Expression Recognition and Emotion Inference (2010)An Effective Framework for Driver Fatigue Recognition Based on Intelligent Facial Expressions Analysis (2018)Facial expression recognition based on deep convolution long short-term memory networks of double-channel weighted mixture (2019)A discriminatively deep fusion approach with improved conditional GAN (im-cGAN) for facial expression recognition (2022)Affective Computing (1997)Measuring facial expressions by computer image analysis (1999)Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach (2008)Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network (2018)MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion Recognition (2019)Facial Expression Recognition Using Facial Movement Features (2011)Affective Body Expression Perception and Recognition: A Survey (2012)Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order (2016)An Active Learning Paradigm for Online Audio-Visual Emotion Recognition (2019)Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction (2019)A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines (2023)General and Interval Type-2 Fuzzy Face-Space Approach to Emotion Recognition (2013)A Takagi–Sugeno fuzzy model combined with a support vector regression for stock trading forecasting (2015)Pepper learns together with children: Development of an educational application (2015)A Fuzzy Deep Neural Network with Sparse Autoencoder for Emotional Intention Understanding in Human-Robot Interaction (2020)Coupled Multimodal Emotional Feature Analysis Based on Broad-Deep Fusion Networks in Human–Robot Interaction (2023)Review and Perspectives on Human Emotion for Connected Automated Vehicles (2024)Social Functions of Emotions at Four Levels of Analysis (1999)A Communication Robot in a Shopping Mall (2010)Using Socially Assistive Human–Robot Interaction to Motivate Physical Exercise for Older Adults (2012)Two-Stage Fuzzy Fusion Based-Convolution Neural Network for Dynamic Emotion Recognition (2020)ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors (2016)AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups (2018)EEG Based Emotion Recognition: A Tutorial and Review (2022)
this work references cited by second hop

References

  • 2006A real-time automated system for the recognition of human facial expressions355 cited
  • 2017Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction196 cited
  • 2015Multimodal learning for facial expression recognition100 cited
  • 2018Three-Layer Weighted Fuzzy Support Vector Regression for Emotional Intention Understanding in Human–Robot Interaction73 cited
  • 2017Dynamic Emotion Understanding in Human–Robot Interaction Based on Two-Layer Fuzzy SVR-TS Model65 cited
  • 2015Intelligent affect regression for bodily expressions using hybrid particle swarm optimization and adaptive ensembles58 cited

Cited by

  • 2024Human emotion recognition using Machine learning techniques based on the physiological signal49 cited

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