Inductive tongue control of powered wheelchairs

Morten E. Lund, Henrik V. Christensen, Héctor Caltenco, Eugen R. Lontis, Bo Bentsen, Lotte N.S. Andreasen Struijk

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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.
Original languageEnglish
Title of host publicationInternational Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages3361-3364
ISBN (Print)978-1-4244-4123-5
DOIs
Publication statusPublished - 2010
EventAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010 - Buenos Aires, Argentina
Duration: 2010 Aug 312010 Sept 4
Conference number: 32

Publication series

Name
ISSN (Print)1557-170X

Conference

ConferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
Country/TerritoryArgentina
CityBuenos Aires
Period2010/08/312010/09/04

Bibliographical note

Conference Proceedings

Subject classification (UKÄ)

  • Human Computer Interaction

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