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Tongue in cheek: a novel concept in assistive human machine interface

Tongue in cheek: a novel concept in assistive human machine interface
Tongue in cheek: a novel concept in assistive human machine interface
In this paper we describe a novel human machine interface system aimed primarily at those who have experienced loss of extremity motor function. The system enables the control of a wide range of assistive technologies such as wheelchairs, prosthetics, computers and general electrical goods at the ‘flick of a tongue’. This system could benefit a huge sector of people including those who have suffered a spinal cord injury, stroke or quadriplegia.
The technology focuses on a unique hands-free interface whereby users can issue commands simply by performing subtle tongue movements; these tongue motions are continually monitored by a small microphone positioned comfortably within the ear canal. Due to the physiological connections between these regions and the distinctive nature of the signals, these commands can be detected and distinguished allowing a control signal to be issued.
This inexpensive device offers significant advantages over existing technologies by providing unobtrusive, hygienic control through natural tongue motion. New software has been implemented, achieving over 97% correct classification across four different tongue movements for seven test subjects. Feasibility of the system as an interface for a variety of devices is demonstrated through simulation studies including controlling a prosthetic manipulator and power wheelchair.
tongue movement ear pressure (tmep) signals, human machine interface (hmi), signal classification, simulation
1754-9450
14-26
Mace, Michael
6edb3b7c-33d4-4db3-8dc4-14ad95ce7b40
Vaiyanathan, Ravi
3bb3ffe1-ee23-49fe-96c6-6aa298692b20
Wang, Shouyan
5099725b-06c2-4ac1-b83f-839764745228
Gupta, Lalit
f953dbc4-0f02-4a22-9f09-46d720ae78bd
Mace, Michael
6edb3b7c-33d4-4db3-8dc4-14ad95ce7b40
Vaiyanathan, Ravi
3bb3ffe1-ee23-49fe-96c6-6aa298692b20
Wang, Shouyan
5099725b-06c2-4ac1-b83f-839764745228
Gupta, Lalit
f953dbc4-0f02-4a22-9f09-46d720ae78bd

Mace, Michael, Vaiyanathan, Ravi, Wang, Shouyan and Gupta, Lalit (2009) Tongue in cheek: a novel concept in assistive human machine interface. Journal of Assistive Technology, 3 (3), 14-26.

Record type: Article

Abstract

In this paper we describe a novel human machine interface system aimed primarily at those who have experienced loss of extremity motor function. The system enables the control of a wide range of assistive technologies such as wheelchairs, prosthetics, computers and general electrical goods at the ‘flick of a tongue’. This system could benefit a huge sector of people including those who have suffered a spinal cord injury, stroke or quadriplegia.
The technology focuses on a unique hands-free interface whereby users can issue commands simply by performing subtle tongue movements; these tongue motions are continually monitored by a small microphone positioned comfortably within the ear canal. Due to the physiological connections between these regions and the distinctive nature of the signals, these commands can be detected and distinguished allowing a control signal to be issued.
This inexpensive device offers significant advantages over existing technologies by providing unobtrusive, hygienic control through natural tongue motion. New software has been implemented, achieving over 97% correct classification across four different tongue movements for seven test subjects. Feasibility of the system as an interface for a variety of devices is demonstrated through simulation studies including controlling a prosthetic manipulator and power wheelchair.

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More information

Published date: September 2009
Keywords: tongue movement ear pressure (tmep) signals, human machine interface (hmi), signal classification, simulation
Organisations: Human Sciences Group

Identifiers

Local EPrints ID: 79153
URI: http://eprints.soton.ac.uk/id/eprint/79153
ISSN: 1754-9450
PURE UUID: 728d0f23-eb71-4eca-a5ad-2880275b31d1

Catalogue record

Date deposited: 15 Mar 2010
Last modified: 07 Jan 2022 23:44

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Contributors

Author: Michael Mace
Author: Ravi Vaiyanathan
Author: Shouyan Wang
Author: Lalit Gupta

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