摘要
为提高智能机器人情绪识别能力,研究智能机器人情绪识别技术。采集智能机器人情绪传感数据,建立情绪视觉图像分析模型,采用Python技术进行图像信息融合和数据库结构重组。建立智能机器人情绪识别的数据关联匹配模型,通过情绪特征样本匹配和模板信息融合方法获取智能机器人情绪识别结果。仿真结果表明,该技术的智能机器人情绪识别能力较强,具有可靠性。
In order to improve the emotion recognition ability of intelligent robot,the emotion recognition technology of intelligent robot is studied.The emotion sensing data of intelligent robot are collected,and the image analysis model of emotion vision is established.The image information fusion and database structure reorganization are carried out by Python technology.The data association matching model of intelligent robot emotion recognition is established.The emotion recognition results of intelligent robot are obtained by emotional feature sample matching and template information fusion.The simulation results show that the emotion recognition ability of intelligent robot based on this technology is strong and reliable.
作者
董玉霞
苏荣聪
郑新良
Dong Yuxia;Su Rongcong;Zheng Xinliang(Quanzhou University of Information Engineering,Quanzhou,Fujian 352000,China;Xianyou Branch,Agricultural Bank of China Fujian Branch,Xianyou,Fujian 351200,China)
出处
《黑龙江工业学院学报（综合版）》
2020年第10期60-64,共5页
Journal of Heilongjiang University of Technology(Comprehensive Edition)
基金
2019年福建省教育厅中青年教师教育科研项目(项目编号:JAT190924)。
