一种足部按摩机器人定位的预测建模方法
魏英姿; 谷侃锋; 王洪光; 常勇
2014
会议名称11th World Congress on Intelligent Control and Automation (WCICA 2014)
会议日期June 29 - July 4, 2014
会议地点Shenyang, China
关键词预测建模 分段曲线拟合 最小二乘法 按摩机器人 穴位
其他题名A Prediction Modeling Method for the Feet Massage Robot Positioning
页码6105-6109
中文摘要针对高血压病人的康复治疗,按照按摩专家的治疗处方,设计足部按摩机器人的结构和按摩流程。精准的穴位定位是按摩机器人达到治病疗效的关键之一。以正向描述对象的方式,运用矢量化数据、形式化的计算机语言描述人体足底穴位的模型。根据按摩穴区分布特点和机器人机构设计的特点,对离散采样数据分段拟合处理。采用数据分析和多种曲线拟合,依据最小二乘法原理,提出一种矢量化的预测建模方法。以较小的数据量和在线计算工作量,为足部按摩机器人的自动查找定位穴位提供一种简便的办法,也为中医医学发展的标准化提供一个研究思路。
英文摘要For the rehabilitation of hypertension patients, a feet massage robot was designed. The mechanism structure and its massage process of feet massage robot were determined conforming to the prescription provided by the massage expert. It is one of critical factors for the robot to find and localize the acupoint precisely in order to cure the diseases. By the direct representation, the model of human pelma acupoint is expressed with the vector variables and formal computer language. Considering the distribution of acupuncture area and robot mechanism structure, the discrete sampling data are divided into piecewise curve fitting. By using data analysis and multiple types of function fittings, we propose a vectorization method for the prediction model following the principle of least-squares. This is a simple and easy-to-use method that will be provided for the robot to automaticlly find and localize the pelma acupoint with little real-time computation and storage. Our works also prompt a research cue for the development of Chinese medical standardization.
收录类别EI
产权排序1
会议录Proceeding of the 11th World Congress on Intelligent Control and Automation
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种中文
ISBN号978-1-4799-5825-2
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/15351]  
专题沈阳自动化研究所_装备制造技术研究室
推荐引用方式
GB/T 7714
魏英姿,谷侃锋,王洪光,等. 一种足部按摩机器人定位的预测建模方法[C]. 见:11th World Congress on Intelligent Control and Automation (WCICA 2014). Shenyang, China. June 29 - July 4, 2014.
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