Evaluating a model for generating interactive facial expressions using simple recurrent network
SMC(2009)
摘要
To improve face-to-face interaction with robots, we developed a model for generating interactive facial expressions by using a simple recurrent network (SRN). Conventional models for robot facial expression use predefined expressions, so only a limited number of expressions can be presented. This means that the expression may not match the interaction and that the person may find the expressions monotonous. Both problems can be overcome by generating expressions dynamically. We tested this model by incorporating it into a robot and comparing the expressions generated with those of a conventional model. The results demonstrated that using our model increases the diversity of face-to-face interaction with robots.
更多查看译文
关键词
predefined expression,robot facial expression use,conventional model,face-to-face interaction,simple recurrent network,limited number,interactive facial expression,expressions monotonous,expressions dynamically,face,genetic expression,data mining,facial expression,emotion,mobile robots,face to face interaction,humanoid robots,human robot interaction,robot kinematics
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要