| Type of Document |
Master's Thesis |
| Author |
Young, Eric Michael
|
| Author's Email Address |
ericyoung2011@gmail.com |
| URN |
etd-08192015-082043 |
| Title |
Low-Cost, Intention-Detecting Robot to Assist the Movement of an Impaired Upper Limb |
| Degree |
Master of Science |
| Department |
Mechanical Engineering |
| Advisory Committee |
| Advisor Name |
Title |
| Nilanjan Sarkar |
Committee Chair |
| Thomas Withrow |
Committee Member |
| Zachary Warren |
Committee Member |
|
| Keywords |
- human-robot interaction
- intention detection
- robotic assistance
|
| Date of Defense |
2015-08-14 |
| Availability |
unrestricted |
Abstract
In recent years, robotic rehabilitation has proven to be beneficial for individuals with impaired limbs, particularly due to the potential of robotic therapists to be more accessible, consistent and cost-effective than their human counterparts. While pursuing better rehabilitation methods is a crucial endeavor, it is also important to acknowledge that many people need an alternative form of assistance for physical impairments, both while undergoing rehabilitation and in the unfortunate but common scenario of rehabilitation providing insufficient improvements. The aim of this thesis is to present a low-cost robotic assistive device which may serve as a complement to rehabilitation procedures. The proposed system determines the intended movement of a user’s upper arm via eye-gaze inputs and force inputs, and physically assists said movement. In this manner, the system may provide immediate relief for someone suffering from physical impairments in their upper limbs, either as a complement to ongoing rehabilitation therapy or as a partial solution in the case of insufficient improvements from rehabilitation.
|
| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
|
| 28.8 Modem |
56K Modem |
ISDN (64 Kb) |
ISDN (128 Kb) |
Higher-speed Access |
| |
EricYoung.pdf |
3.16 Mb |
00:14:37 |
00:07:31 |
00:06:34 |
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00:00:16 |
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