DocumentCode
1229358
Title
Using Unconstrained Tongue Motion as an Alternative Control Mechanism for Wheeled Mobility
Author
Huo, Xueliang ; Ghovanloo, Maysam
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA
Volume
56
Issue
6
fYear
2009
fDate
6/1/2009 12:00:00 AM
Firstpage
1719
Lastpage
1726
Abstract
Tongue drive system (TDS) is a tongue-operated, minimally invasive, unobtrusive, noncontact, and wireless assistive technology that infers userspsila intentions by detecting and classifying their voluntary tongue motions, and translating them to user-defined commands. We have developed customized interface circuitry between an external TDS (eTDS) prototype and a commercial powered wheelchair (PWC) as well as three control strategies to evaluate the tongue motion as an alternative control input for wheeled mobility. We tested the eTDS performance in driving PWCs on 12 able-bodied human subjects, of which 11 were novice. The results showed that all subjects could complete navigation tasks by operating the PWC using their tongue motions. Despite little prior experience, the average time using the eTDS and the tongue was only approximately three times longer than using a joystick and the fingers. Navigation time was strongly dependant on the number of issued commands, which reduced by gaining experience. Particularly, the unintended issued commands (the Midas touch problem) were rare, demonstrating the effectiveness of the tongue tracking and external magnetic field cancellation algorithms as well as the safety of the TDS for wheeled mobility.
Keywords
biomechanics; handicapped aids; medical robotics; prototypes; wheelchairs; Midas touch problem; alternative control mechanism; commercial powered wheelchair; customized interface circuitry; external TDS prototype; external magnetic field cancellation algorithms; navigation tasks; tongue drive system; unconstrained tongue motion; unintended issued commands; wheeled mobility; wireless assistive technology; Circuit testing; Fingers; Humans; Minimally invasive surgery; Motion control; Motion detection; Navigation; Prototypes; Tongue; Wheelchairs; Assistive technologies (ATs); environmental control; magnetic sensors; telemetry; tongue motion; wheeled mobility; Adult; Algorithms; Biomedical Engineering; Electromagnetic Fields; Equipment Design; Female; Humans; Linear Models; Male; Man-Machine Systems; Task Performance and Analysis; Telecommunications; Telemetry; Tongue; User-Computer Interface; Wheelchairs;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2009.2018632
Filename
4812082
Link To Document