Directional control of an omnidirectional walking support walker: adaptation to individual differences with fuzzy learning

Directional control of an omnidirectional walking support walker: adaptation to individual differences with fuzzy learning
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DOI:
10.1080/01691864.2013.876935
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发表时间:
2014-02
期刊:
影响因子:
2
通讯作者:
Yinlai Jiang;Shuoyu Wang;K. Ishida;Yo Kobayashi;M. Fujie
Yinlai Jiang;Shuoyu Wang;K. Ishida;Yo Kobayashi;M. Fujie
中科院分区:
计算机科学4区
文献类型:
--
作者:
Yinlai Jiang;Shuoyu Wang;K. Ishida;Yo Kobayashi;M. Fujie

文献摘要

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我们正在开发一种方法来识别用户的方向意图,以控制全向步行者(ODW)根据ODW和用户之间的力的相互作用。由于不同的人,特别是那些有行走困难的人,在力的相互作用的特点是不同的,模糊学习方法,在这项研究中,以适应前臂压力的个体差异,以提高该方法的可用性。实验结果表明,模糊学习可以根据力相互作用的特点更新模糊规则,从而显着提高识别的准确率。图形摘要
We are developing a method to recognize a user’s directional intention to control an omnidirectional walker (ODW) according to the force interaction between the ODW and the user. Since the characteristics in the force interaction are different among persons especially for those with walking difficulty, a fuzzy learning method is developed in this study to adapt to the individual difference in forearm pressures in order to improve the usability of the method. The experiment results show that fuzzy learning can significantly improve the accuracy of recognition by updating the fuzzy rules according to the characteristics in the force interaction. Graphical Abstract