DocumentCode
2572459
Title
Predictive validity of wheelchair driving behavior for fine motor abilities: Definition of input variables for an adaptive wheelchair system
Author
Jipp, Meike ; Bartolein, Christian ; Badreddin, Essameddin
Author_Institution
Autom. Lab., Univ. of Heidelberg, Mannheim, Germany
fYear
2009
fDate
11-14 Oct. 2009
Firstpage
39
Lastpage
44
Abstract
This paper introduces an approach for dynamically adapting the level of automation of a wheelchair system on the basis of the current level of the user´s motor abilities. For this purpose, a study is described, during which participants drove through a course consisting of 14 sub-sections. The predictive validity of the participants´ wheelchair driving behavior on their precision, tremor, wrist-finger velocity, arm-hand velocity and aiming capability was analyzed. The results demonstrate impressively (1) that some course sections can better be used in order to derive variables allowing a reasoning on the users´ motor ability level than other sections and (2) that especially the precision ability can be predicted e.g. on the basis of the distances driven in the forward mode. Implications on how an adaptive assistance system for powered wheelchair could be implemented are discussed as is the impact of such a system on the wheelchair market.
Keywords
adaptive control; handicapped aids; predictive control; velocity control; wheelchairs; adaptive assistance system; adaptive wheelchair system; aiming capability; arm-hand velocity; motor ability; powered wheelchair; precision; predictive validity; tremor; wheelchair driving behavior; wheelchair market; wrist-finger velocity; Adaptive systems; Automatic control; Automation; Cognitive science; Cybernetics; Human factors; Input variables; Laboratories; USA Councils; Wheelchairs; adaptive automation; assistive technology; human-centered technology (key words); motor abilities;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1062-922X
Print_ISBN
978-1-4244-2793-2
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2009.5346347
Filename
5346347
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