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

Content Provider	IEEE Xplore Digital Library
Author	Mace, M. Abdullah-Al-Mamun, K. Vaidyanathan, R. Shouyan Wang Gupta, L.
Copyright Year	2010
Description	Author affiliation: Department of Mechanical Engineering, Faculty of Engineering, University of Bristol, UK, BS8 1TR (Mace, M.) \|\| Department of Electrical and Computer Engineering, Southern Illinois University, USA, 62901 (Gupta, L.) \|\| Institute of Sound and Vibration Research (ISVR), University of Southampton, UK, SO17 1BJ (Abdullah-Al-Mamun, K.; Shouyan Wang) \|\| Bristol Robotics Laboratory, Department of Mechanical Engineering, University of Bristol, BS8 1TR, UK (Vaidyanathan, R.)
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.
Starting Page	5486
Ending Page	5491
File Size	1623639
Page Count	6
File Format	PDF
ISBN	9781424466740
ISSN	21530866
e-ISBN	9781424466764
DOI	10.1109/IROS.2010.5648834
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Discrete cosine transforms Tongue Real time systems Feature extraction Ear Accuracy assistive HMI Tongue-movement ear pressure signals real-time classification
Content Type	Text
Resource Type	Article

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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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