| 基于个性化和记忆机制的多模态情感计算模型 |
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| 引用本文： | 周思锦,陈棣成,涂耿,姜大志.基于个性化和记忆机制的多模态情感计算模型[J].系统仿真学报,2022,34(4):745-758. |
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| 作者姓名： | 周思锦 陈棣成 涂耿 姜大志 |
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| 作者单位： | 1.汕头大学 工学院，广东 汕头 5150632.汕头大学 智能制造技术教育部重点实验室，广东 汕头 515063 |
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| 基金项目： | 国家自然科学基金(61902232);广东省自然科学基金(2019A1515010943);广东省普通高校基础研究与应用基础研究重点项目(2018KZDXM035);广东省普通高校基础研究与应用基础研究人工智能重点领域专项(2019KZDZX1030) |
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| 摘 要： | 随着情感计算研究的不断深入,记忆、个性化、情感之间的密切联系逐渐引起研究者的重视.已有方法在机器情感的感知、理解和表达方面仍存在着诸多不足.提出一种集情感感知、理解和表达于一体的情感计算模型.该模型是一个面向记忆机制的、接受多模态输入(视觉、听觉、词汇)的深度网络感知模型,并应用一种模糊化的情感集成决策来实现不确定性情...
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| 关 键 词： | 情感计算 计算情感模型 深度神经网络 情感集成决策 个性化 |
| 收稿时间： | 2020-11-15 |
Multi-modality Affective Computing Model Based on Personality and Memory Mechanism |
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| Sijin Zhou,Dicheng Chen,Geng Tu,Dazhi Jiang.Multi-modality Affective Computing Model Based on Personality and Memory Mechanism[J].Journal of System Simulation,2022,34(4):745-758. |
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| Authors: | Sijin Zhou Dicheng Chen Geng Tu Dazhi Jiang |
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| Institution: | 1.School of Engineering, Shantou University, Shantou 515063, China2.Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, Shantou 515063, China |
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| Abstract: | With the development of affective computing, the correlation of memory, individuation and emotion is more and more important. Focus on the machine emotion shortcomings in the perception, understanding and expression, an emotion computing model integrating the emotion perception, understanding and expression is proposed. The model is a memory-oriented deep network perception model that accepts multiple modal inputs (visual, auditory, lexical) and applies a fuzzy emotion integration decision to realize the understanding of uncertain emotions. The simulation experiments prove that the model has a good performance in all kinds of multimodal affective computing. |
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| Keywords: | affective computing computational model of emotion deep neural network integrated decision personalization |
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