摘要
该文提出一种基于人工智能的情绪识别系统设计思路,即通过情绪对人生理状态的带动作用,设计用于情绪识别的生理信号平台,搭建BP神经网络模型,进而以此为核心设计情绪识别系统。
This article proposes a design approach for an emotion recognition system based on artificial intelligence,which involves designing a physiological signal platform for emotion recognition through the driving effect of emotions on human physiological states,building a BP neural network model,and then designing an emotion recognition system based on this as the core.
作者
徐梦舟
张劭韡
李艳艳
XU Mengzhou;ZHANG Shaowei;LI Yanyan(Southern Branch of State Grid Corporation of China Customer Service Center,Nanjing 210000,China)
出处
《数字通信世界》
2024年第7期73-75,共3页
Digital Communication World
基金
“国家电网有限公司客户服务中心研究开发项目——基于深度学习的智能巡场系统研究(52313121N005)”资助。
关键词
人工智能
情绪识别
系统设计
artificial intelligence
emotional recognition
system design
