基于用户情感和自我意识的熊猫机器人情感生成系统

Bin Zhang, Zhan Chen, Hun-ok Lim
{"title":"基于用户情感和自我意识的熊猫机器人情感生成系统","authors":"Bin Zhang, Zhan Chen, Hun-ok Lim","doi":"10.1145/3529570.3529575","DOIUrl":null,"url":null,"abstract":"In this paper, a panda-type robot is developed which can generate different emotions responding to the emotions of the user and its self-conscious. User emotion recognition is realized by fusing multiple information from the user, including facial expressions, voice emotions and touching forces. The panda-type robot generates and expresses its emotion by integrating recognized users’ emotion and its self-conscious feelings. The effectiveness of the proposed system is confirmed by continuous interaction experiments.","PeriodicalId":430367,"journal":{"name":"Proceedings of the 6th International Conference on Digital Signal Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Emotion Generation System Based on Users’ Emotion and Self-conscious for a Panda-type Robot\",\"authors\":\"Bin Zhang, Zhan Chen, Hun-ok Lim\",\"doi\":\"10.1145/3529570.3529575\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a panda-type robot is developed which can generate different emotions responding to the emotions of the user and its self-conscious. User emotion recognition is realized by fusing multiple information from the user, including facial expressions, voice emotions and touching forces. The panda-type robot generates and expresses its emotion by integrating recognized users’ emotion and its self-conscious feelings. The effectiveness of the proposed system is confirmed by continuous interaction experiments.\",\"PeriodicalId\":430367,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Digital Signal Processing\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Digital Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3529570.3529575\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Digital Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3529570.3529575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文开发了一种熊猫型机器人,它可以根据用户的情绪和自我意识产生不同的情绪。用户情感识别是通过融合来自用户的多种信息,包括面部表情、语音情感和触摸力来实现的。熊猫型机器人通过整合被识别用户的情感和自我意识的情感来产生和表达自己的情感。通过连续交互实验验证了该系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emotion Generation System Based on Users’ Emotion and Self-conscious for a Panda-type Robot
In this paper, a panda-type robot is developed which can generate different emotions responding to the emotions of the user and its self-conscious. User emotion recognition is realized by fusing multiple information from the user, including facial expressions, voice emotions and touching forces. The panda-type robot generates and expresses its emotion by integrating recognized users’ emotion and its self-conscious feelings. The effectiveness of the proposed system is confirmed by continuous interaction experiments.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信