東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Haptic guidance for enhancing human ...

University of California, Irvine., Mechanical and Aerospace Engineering - Ph.D.

FindBook

Google Book

Amazon

博客來

Haptic guidance for enhancing human motor learning: Application to a robot-assisted powered wheelchair trainer.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Haptic guidance for enhancing human motor learning: Application to a robot-assisted powered wheelchair trainer./
作者:	Marchal-Crespo, Laura.
面頁冊數:	414 p.
附註:	Adviser: David J. Reinkensmeyer.
Contained By:	Dissertation Abstracts International70-05B.
標題:	Engineering, Mechanical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3355905
ISBN:	9781109154504

Haptic guidance for enhancing human motor learning: Application to a robot-assisted powered wheelchair trainer.
Marchal-Crespo, Laura.

Haptic guidance for enhancing human motor learning: Application to a robot-assisted powered wheelchair trainer. - 414 p.

Adviser: David J. Reinkensmeyer.

Thesis (Ph.D.)--University of California, Irvine, 2009.

Achieving independent mobility is important for people with disabilities, but learning to drive a powered wheelchair can be difficult, time-consuming, and expensive. The primary motivation for this dissertation was to develop a robotic wheelchair trainer on which people with a disability can safely develop driving skills at their own pace with minimum assistance. The concept was to use a robotic joystick to guide movements to help people safely learn how to steer.

ISBN: 9781109154504Subjects--Topical Terms:

783786
Engineering, Mechanical.

Haptic guidance for enhancing human motor learning: Application to a robot-assisted powered wheelchair trainer.
LDR:03547nmm 2200349 a 45 001 862948
005 20100721
008 100721s2009 ||||||||||||||||| ||eng d
020 $a 9781109154504
035 $a (UMI)AAI3355905
035 $a AAI3355905
040 $a UMI $c UMI
100 1 $a Marchal-Crespo, Laura. $3 1030827
245 1 0 $a Haptic guidance for enhancing human motor learning: Application to a robot-assisted powered wheelchair trainer.
300 $a 414 p.
500 $a Adviser: David J. Reinkensmeyer.
500 $a Source: Dissertation Abstracts International, Volume: 70-05, Section: B, page: .
502 $a Thesis (Ph.D.)--University of California, Irvine, 2009.
520 $a Achieving independent mobility is important for people with disabilities, but learning to drive a powered wheelchair can be difficult, time-consuming, and expensive. The primary motivation for this dissertation was to develop a robotic wheelchair trainer on which people with a disability can safely develop driving skills at their own pace with minimum assistance. The concept was to use a robotic joystick to guide movements to help people safely learn how to steer.
520 $a To provide a rational framework, we studied the conditions under which robotic guidance was effective for helping learn to steer, using a virtual reality simulator. Of concern was the long-standing "guidance" hypothesis which states that providing too much guidance impairs motor learning. We incorporated a novel guidance-as-needed strategy, which adjusts levels of guidance based on real-time errors. Training with guidance-as-needed improved the drivers' steering ability more than training without guidance, apparently because it helped learn when to begin turns. Furthermore, guidance's benefits were skill-dependent.
520 $a Guidance appeared to help participants learn timing. We therefore developed a robotic device to study whether robotic guidance improved learning of a pure timing task (a pinball-like task). Guidance was not effective, probably because participants relied on the form of guidance used, which totally eliminated performance errors. When we modified the strategy so that guidance was proportional to timing errors, guidance was beneficial for participants with a lower skill level.
520 $a To incorporate these findings into the robotic wheelchair trainer, we equipped a powered pediatric wheelchair with a webcam to achieve a self steering function along a course, and a force-feedback joystick to implement an algorithm that demonstrates exemplary control to follow the course, while systematically modulating its strength. Consistent with the findings from the driving simulator, training with guidance from the smart wheelchair improved healthy children's (age 3-10) steering ability more than training without guidance. In fact, training without guidance did not improve children's steering ability.
520 $a These results appear to be the first direct evidence that haptic guidance can enhance motor learning. Haptic guidance enhances learning of timing tasks, such as driving and pinball, in less-skilled people, and is more beneficial when applied only as needed.
590 $a School code: 0030.
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0548
690 $a 0771
710 2 $a University of California, Irvine. $b Mechanical and Aerospace Engineering - Ph.D. $3 1030826
773 0 $t Dissertation Abstracts International $g 70-05B.
790 $a 0030
790 1 0 $a Bobrow, James E. $e committee member
790 1 0 $a Reinkensmeyer, David J., $e advisor
790 1 0 $a Sideris, Athanasios $e committee member
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3355905