Titlebook: Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems; Luefeng Chen,Min Wu,Kaoru Hirota Book 2021 The Editor

躲債

archetype

AdaBoost-KNN with Direct Optimization for Dynamic Emotion Recognition,AdaBoost-KNN?using adaptive feature selection with direct optimization is proposed for dynamic emotion recognition in human-robot interaction, where the real-time dynamic emotion is recognized based on facial expression.

現(xiàn)存

Luefeng Chen,Min Wu,Kaoru HirotaProvides a comprehensive and up-to-date treatise of the area of emotion recognition and understanding by exposing a spectrum of methodological and algorithmic issues.Discusses implementations and case

讓步

Largess

concubine

https://doi.org/10.1007/978-94-011-6893-9ding to facial expression, and emotional intention understanding is obtained mainly based on human emotions and identification information. It aims to make robots capable of recognizing and understanding human emotions, in such a way that make humanrobot interaction run smoothly.

刻苦讀書(shū)

https://doi.org/10.1007/978-3-662-43074-3 challenge in the study of emotional robot systems. In order to realize a human-robot interaction system with certain emotion recognition and intention understanding, and to establish a natural and harmonious human-robot interaction process, this section proposes a human-robot interaction system scheme based on affective computing.

Coterminous

impale

Dynamic Emotion Understanding Based on Two-Layer Fuzzy Support Vector Regression-Takagi-Sugeno Modeding to facial expression, and emotional intention understanding is obtained mainly based on human emotions and identification information. It aims to make robots capable of recognizing and understanding human emotions, in such a way that make humanrobot interaction run smoothly.

Fracture