基于BP神经网络的老龄智能陪伴机器人造型意象研究  

Modeling Image of Aging Intelligent Companion Robot Based on BP Neural Network

作　　者：吴磊[1] 孙悦 盛芹芹 WU Lei;SUN Yue;SHENG Qinqin(Huazhong University of Science and Technology,430074 Wuhan Hubei)

机构地区：[1]华中科技大学,湖北武汉430074

出　　处：《设计艺术研究》2023年第4期5-8,13,共5页Design Research

基　　金：教育部人文社会科学基金资助(20YJC760105)。

摘　　要：老龄智能陪伴机器人是典型的适老化设计产品。为准确获取老龄智能陪伴机器人的造型意象特征,首先,对国内外相关研究现状进行分析。其次,通过结构性访谈等研究方法,剖析老龄人群的用户特征以及面对智能陪伴机器人的需求。然后,选取出代表性意象词汇与典型样本,通过对典型样本造型特征组合的量化编码以及代表性意象词汇归一化处理,根据隐节点方法确定网络拓扑结构,构建基于BP神经网络的机器人造型意象预测模型。最后,进行设计实践的应用验证,采用BP神经网络预测模型和实际用户回访评估对比,验证了理论研究的有效性。The aging intelligent companion robot is a typical product of age-friendly design.In order to accurately capture the modeling image characteristics of aging intelligent companion robots,this study first analyzes the current research status at home and abroad.Secondly,through research methods such as structured interviews,it analyzes the user characteristics of the elderly population and their needs for intelligent companion robots.Then,representative image words and typical samples are selected.Through quantitative coding of the combination of typical sample modeling features and normalization processing of representative image words,the network topology is determined based on the hidden node method.A robot modeling image prediction model based on BP neural network is constructed.Finally,the theoretical research is validated through practical application,using the BP neural network prediction model and actual user return visit evaluation.

关 键 词：老龄智能陪伴机器人 造型意象 BP神经网络 

分 类 号：TB472[一般工业技术—工业设计]