Fuzzy logic based intention recognition in STS processes

Hang Lu, Dayou Li, Renxi Qiu
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Abstract

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.
基于模糊逻辑的STS过程意图识别
本文提出了一种基于模糊逻辑的分类器,该分类器能够根据人类用户对地面施加的力从他们的行为中识别出他们站立的意图。研究报告的重点是为分类器选择有意义的输入数据,以及确定最能代表隐藏在力数据中的意图信息的模糊集。分类器是机器人椅子的一个组成部分,它根据分类器识别的意图帮助用户站起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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