Fuzzy Logic Based Intention Recognition in STS Processes

被引：0
|
作者：
Lu, Hang [1 ]
Li, Dayou [1 ]
Qiu, Renxi [1 ]
机构：
[1] Univ Bedfordshire, Inst Res Appl Comp, Robot & Smart Syst Res Ctr, Pk Sq, Luton LU1 3JU, Beds, England
来源：
2016 6TH IEEE INTERNATIONAL CONFERENCE ON MANIPULATION, MANUFACTURING AND MEASUREMENT ON THE NANOSCALE (IEEE 3M-NANO) | 2016年
关键词：
MOVEMENT;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper represents a fuzzy logic based classifier that is able to recognise human users' intention of standing up from their behaviours in terms of the force they apply to the ground. The research reported focused on the selection of meaningful input data to the classifier and on the determination of fuzzy sets that best represent the intention information hidden in the force data. The classifier is a component of a robot chair which provides the users with assistance to stand up based on the recognised intention by the classifier.
引用
收藏
页码：113 / 118
页数：6
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