[1]赵小明,唐志伟,张石清.面向听视觉信息的多模态人格识别研究进展[J].智能系统学报,2021,16(2):189-201.[doi:10.11992/tis.202101034]
 ZHAO Xiaoming,TANG Zhiwei,ZHANG Shiqing.Research advance of multimodal personality recognition based on audio and visual cues[J].CAAI Transactions on Intelligent Systems,2021,16(2):189-201.[doi:10.11992/tis.202101034]
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面向听视觉信息的多模态人格识别研究进展(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第16卷
期数:
2021年2期
页码:
189-201
栏目:
综述
出版日期:
2021-03-05

文章信息/Info

Title:
Research advance of multimodal personality recognition based on audio and visual cues
作者:
赵小明1 唐志伟1 张石清2
1. 浙江理工大学 机械与自动控制学院,浙江 杭州 310018;
2. 台州学院 智能信息处理研究所,浙江 台州 318000
Author(s):
ZHAO Xiaoming1 TANG Zhiwei1 ZHANG Shiqing2
1. School of Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China;
2. Institute of Intelligent Information Processing, Taizhou University, Taizhou 318000, China
关键词:
人格识别人格计算人格类型听视觉信息特征提取手工特征深度特征多模态融合
Keywords:
Personality recognitionpersonality computingtypes of personalityaudio-visual cuesfeature extractionhand-crafted featuresdepth featuresmultimodal fusion
分类号:
TP391
DOI:
10.11992/tis.202101034
摘要:
人格识别分析是人格计算研究中一个重要的研究内容,在人类行为分析、人工智能、人机交互、个性化推荐等方面具有重要的应用价值,是近年来心理学、认知学、计算机科学等领域中的一个多学科交叉的热点研究课题。本文介绍了与人格识别相关的各种人格类型表示理论和人格识别数据库,阐述了面向听视觉信息的各种听视觉人格特征提取技术,如手工特征和深度特征,并在此基础上对面向听视觉信息人格识别的多模态融合方法做了详细的分类和归纳,最后概括了面向听视觉信息的多模态人格识别发展趋势,并进行了展望。
Abstract:
Personality recognition analysis is an important research topic in personality computing, which has important applications in human behavior analysis, artificial intelligence, human-computer interaction, and personalized recommendation. In recent years, personality recognition analysis has become an active research topic in psychology, cognition, and computer science. This study introduces different types of personality representation theories and databases related to personality recognition and presents various audio-visual cue feature extraction technologies for personality recognition, such as handcrafted and depth features. Then, multimodal fusion methods integrating audio and visual cues for personality recognition are classified and summarized in detail. Finally, the development trend of multimodal personality recognition integrating audio and visual cues is explored and summarized.

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备注/Memo

备注/Memo:
收稿日期:2021-01-28。
基金项目:国家自然科学基金项目(61976149);浙江省自然科学基金项目(LZ20F020002)
作者简介:赵小明,教授,主要研究方向为音频和图像处理、机器学习和模式识别;唐志伟,硕士研究生,主要研究方向为人格计算和模式识别;张石清,教授,博士,主要研究方向为情感计算和模式识别。发表学术论文40余篇
通讯作者:赵小明.E-mail:tzxyzxm@163.com
更新日期/Last Update: 2021-04-25