NDLI: Inductive tongue control of powered wheelchairs

Content Provider	IEEE Xplore Digital Library
Author	Lund, M.E. Christiensen, H.V. Caltenco, H.A. Lontis, E.R. Bentsen, B. Andreasen Struijk, L.N.S.
Copyright Year	2010
Description	Author affiliation: Center for Sensory Motor Interaction (SMI), Dept. of Health Science and Technology, Aalborg University, DK-9220, Denmark (Caltenco, H.A.; Bentsen, B.; Andreasen Struijk, L.N.S.) \|\| Dept. of Mech. Eng., Aalborg University, DK-9220, Denmark (Lund, M.E.) \|\| TKS A/S, Niels Jernes vej 10, DK-9220 Aalborg, Denmark (Christiensen, H.V.; Lontis, E.R.)
Abstract	Alternative and effective methods for controlling powered wheelchairs are important to individuals with tetraplegia and similar impairments whom are unable to use the standard joystick. This paper describes a system where tongue movements are used to control a powered wheelchair thus providing users, with high level spinal cord injuries, full control of their wheelchair. The system is based on an inductive tongue control system developed at Center for Sensory-Motor Interaction (SMI), Aalborg University. The system emulates a standard analog joystick in order to interface the wheelchair, thus ensuring that the system works with almost any wheelchair. The total embedment of the tongue interface into the mouth makes the control practically invisible. A fuzzy system combining 8 sensors for directional control allows for multidirectional control of the wheelchair. Preliminary test results show navigation abilities, which are highly competitive when compared to other tongue control system.
Starting Page	3361
Ending Page	3364
File Size	1782398
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627923
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wheelchairs Tongue Control systems Safety Navigation Sensor systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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