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

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21#
發(fā)表于 2025-3-25 06:26:19 | 只看該作者
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.
22#
發(fā)表于 2025-3-25 09:05:06 | 只看該作者
23#
發(fā)表于 2025-3-25 13:45:12 | 只看該作者
24#
發(fā)表于 2025-3-25 16:32:56 | 只看該作者
25#
發(fā)表于 2025-3-25 21:33:57 | 只看該作者
Federalism, Failure and SuccessHuman-robot interaction technology has gradually shifted from computer-centered to human-centered, as natural human-robot interaction has become a new direction of human-robot interaction technology development.
26#
發(fā)表于 2025-3-26 01:56:51 | 只看該作者
27#
發(fā)表于 2025-3-26 06:17:29 | 只看該作者
Tamejiro Hiyama,Hisashi YamamotoDeep neural network (DNN)?has been used as a learning model for modeling the hierarchical architecture of human brain. However, DNN suffers from problems of learning efficiency and computational complexity.
28#
發(fā)表于 2025-3-26 09:04:32 | 只看該作者
,Die Entwicklung des Dünenindividuum,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.
29#
發(fā)表于 2025-3-26 13:20:41 | 只看該作者
Introduction,Human-robot interaction technology has gradually shifted from computer-centered to human-centered, as natural human-robot interaction has become a new direction of human-robot interaction technology development.
30#
發(fā)表于 2025-3-26 20:48:59 | 只看該作者
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