A Study of Electric Powered Wheelchair with Operation Assist System which does not Prevent Human Operation if Unnecessary
A Study of Electric Powered Wheelchair with Operation Assist System which does not Prevent Human Operation if Unnecessary
批准号:
16500348
负责人:
YASUDA Toshihiko
金额:
$1.6万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2004
资助国家:
日本
项目状态:
已结题
起止时间:
2004 至 2005
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The purpose of this research is to make electric-powered wheelchair intelligent and to develop a mobility aid for people, who find it difficult or impossible to drive a conventional wheelchair. To do this, an assist method for human's operation of electric-powered wheelchairs has been investigated. Safe drive and easy operation of electric-powered wheelchairs has been realized by combining a function of autonomous obstacle avoidance and human operation. The goal of our research is to construct the operation assist system, which does not prevent human operation if unnecessary.In this study, a neural network produces an obstacle avoidance function. By using an approach that connection weights of the neural network vary according to the condition of obstacles in the neighborhood of the wheelchair and the running state of wheelchair, we have improved the obstacle avoidance function. First, neural networks have evolved by using digital computer simulator. Secondly, experiments, using protot … More ypes implemented neural networks whose connection weights were given by numerical studies, have demonstrated that the neural network with variable connection weights exhibits the more excellent ability of obstacle avoidance.To detect obstacles, 18 PSD sensors are mounted on our prototype of intelligent wheelchair. In order to compensate weak point of the PSD sensor, we have proposed a concept of the virtual sensor, which preserves previous observation data of obstacles and constructs virtually several suitable sensing systems and improves obstacle avoidance function. Finally, we have proposed new method called the assist rate, which is used in order to control unnecessary autonomous obstacle avoidance. The assist rate, which indicates necessity of the operation assist function, is calculated based on information concerned with obstacles and the running state of wheelchair. The virtual sensor system and the assist rate have been implemented on a prototype and the effectiveness of the proposed method has been demonstrated. Less
期刊论文(37)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
電動車椅子の操作支援方式の試作 -第14報 車椅子の構造と結合荷重変型ニューラルネットワークによる障害物回避-
电动轮椅操作支持系统原型 - 第十四次报告:利用耦合负载变形神经网络的轮椅结构和避障 -
DOI:
--
发表时间:
2005
期刊:
第48回自動制御連合講演会CD-ROM講演論文集 (CD-ROM)
影响因子:
--
作者:
[安田寿彦, 中村一志 他]
通讯作者:
中村一志 他
電動車椅子の操作支援方式の試作-第14報 車椅子の構造と結合荷重変動型ニューラルネットワークによる障害物回避-第48回自動制御連合講演会CD-ROM講演論文集
电动轮椅操作支持系统原型 - 第14次报告《利用耦合负载变量神经网络的轮椅结构和避障》 - 第48届自动控制协会会议CD-ROM讲座论文集
DOI:
--
发表时间:
2005
期刊:
第48回自動制御連合講演会CD-ROM講演論文集 (CD-ROM)
影响因子:
--
作者:
[安田寿彦, 中村一志 他]
通讯作者:
中村一志 他
電動車椅子の操作支援方式の試作-結合荷重が変動する障害物回避機能生成ニューラルネットワークの比較-
电动轮椅操作支持系统原型-变连接负载避障函数生成神经网络比较-
DOI:
--
发表时间:
2004
期刊:
第14回インテリジェント・システム・シンポジウム講演論文集
影响因子:
--
作者:
[安田寿彦, 中村一志ほか]
通讯作者:
中村一志ほか
A Trial of Operation Assist System for Electric Powered Wheelchairs - 14th Report Structure of Wheelchairs and Obstacle Avoidance by using Neural Network with Variable Connection Weight -
电动轮椅操作辅助系统的试验 - 第 14 次报告 轮椅的结构和使用可变连接权重的神经网络避障 -
DOI:
--
发表时间:
2005
期刊:
Proceedings of the 48th Joint Conference on Automatic Control (Jidou Seigyo Rengou Kouenkai) (CD-ROM)
影响因子:
--
作者:
[]
通讯作者:
電動車椅子の操作支援方式の試作 -第15報 人の意思を必要以上に妨げない障害物回避手法-
电动轮椅操作辅助系统原型 - 第15次报告:不会不必要地干扰人的意志的避障方法 -
DOI:
--
发表时间:
2006
期刊:
第11回ロボティクスシンポジア講演論文集
影响因子:
--
作者:
[安田寿彦, 川原章裕 他]
通讯作者:
川原章裕 他
共 20 条
Studies on the operation assist function of electric powered wheelchairs autonomouslyadjustingtothe operation ability of users
-
批准号:21500519
-
项目类别:Grant-in-Aid for Scientific Research (C)
-
资助金额:$2.66万
-
财政年份:2009
-
负责人:YASUDA Toshihiko
-
依托单位:
Studies on intelligent wheelchairs with operation equipment and operation assist system adjusting to operation ability of users
-
批准号:18500437
-
项目类别:Grant-in-Aid for Scientific Research (C)
-
资助金额:$2.66万
-
财政年份:2006
-
负责人:YASUDA Toshihiko
-
依托单位:
Forensic Age-Estimation Using Proteomics-and Genomics-Approaches
-
批准号:15209023
-
项目类别:Grant-in-Aid for Scientific Research (A)
-
资助金额:$27.96万
-
财政年份:2003
-
负责人:YASUDA Toshihiko
-
依托单位:
海外基金