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Real-time implementation of a non-invasive tongue-based human-robot interface

Real-time implementation of a non-invasive tongue-based human-robot interface
Real-time implementation of a non-invasive tongue-based human-robot interface
Real-time implementation of an assistive human-machine interface system based around tongue-movement ear pressure (TMEP) signals is presented, alongside results from a series of simulated control tasks. The implementation of this system into an online setting involves short-term energy calculation, detection, segmentation and subsequent signal classification, all of which had to be reformulated based on previous off-line testing. This has included the formulation of a new classification and feature extraction method. This scheme utilises the discrete cosine transform to extract the frequency features from the time domain information, a univariate Gaussian maximum likelihood classifier and a two phase cross-validation procedure for feature selection and extraction. The performance of this classifier is presented alongside a real-time implementation of the decision fusion classification algorithm, with each achieving 96.28% and 93.12% respectively. The system testing takes into consideration potential segmentation of false positive signals. A simulation mapping commands to a planar wheelchair demonstrates the capacity of the system for assistive robotic control. These are the first real-time results published for a tongue-based human-machine interface that does not require a transducer to be placed within the vicinity of the oral cavity.

9781424466740
5486
IEEE
Mace, M.
1e15667c-4c42-455d-9f89-5ef93dd1737b
Mamun, K.
1e1b6fbb-379d-4f92-b8a2-9d2870b7828a
Vaidyanathan, R.
f062a7b1-fc7e-4227-9e1b-ca0b61330237
Wang, S.
a2223997-9f42-425b-b0c6-1bcb64d9b8fc
Gupta, L.
d2b4415e-e315-431e-8587-fe6d85560485
Mace, M.
1e15667c-4c42-455d-9f89-5ef93dd1737b
Mamun, K.
1e1b6fbb-379d-4f92-b8a2-9d2870b7828a
Vaidyanathan, R.
f062a7b1-fc7e-4227-9e1b-ca0b61330237
Wang, S.
a2223997-9f42-425b-b0c6-1bcb64d9b8fc
Gupta, L.
d2b4415e-e315-431e-8587-fe6d85560485

Mace, M., Mamun, K., Vaidyanathan, R., Wang, S. and Gupta, L. (2010) Real-time implementation of a non-invasive tongue-based human-robot interface. In 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. p. 5486 . (doi:10.1109/IROS.2010.5648834).

Record type: Conference or Workshop Item (Paper)

Abstract

Real-time implementation of an assistive human-machine interface system based around tongue-movement ear pressure (TMEP) signals is presented, alongside results from a series of simulated control tasks. The implementation of this system into an online setting involves short-term energy calculation, detection, segmentation and subsequent signal classification, all of which had to be reformulated based on previous off-line testing. This has included the formulation of a new classification and feature extraction method. This scheme utilises the discrete cosine transform to extract the frequency features from the time domain information, a univariate Gaussian maximum likelihood classifier and a two phase cross-validation procedure for feature selection and extraction. The performance of this classifier is presented alongside a real-time implementation of the decision fusion classification algorithm, with each achieving 96.28% and 93.12% respectively. The system testing takes into consideration potential segmentation of false positive signals. A simulation mapping commands to a planar wheelchair demonstrates the capacity of the system for assistive robotic control. These are the first real-time results published for a tongue-based human-machine interface that does not require a transducer to be placed within the vicinity of the oral cavity.

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More information

Published date: 2010
Additional Information: ISSN: 2153-0858
Venue - Dates: conference; tw; 2010-10-18; 2010-10-22, Taiwan, 2010-10-18 - 2010-10-22
Organisations: Human Sciences Group

Identifiers

Local EPrints ID: 178257
URI: https://eprints.soton.ac.uk/id/eprint/178257
ISBN: 9781424466740
PURE UUID: 903a5319-3f08-4093-ab4d-94dfdf6e0349

Catalogue record

Date deposited: 24 Mar 2011 14:59
Last modified: 16 Jul 2019 23:44

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