NDLI: A DCT-Gaussian classification scheme for human-robot interface

Content Provider	IEEE Xplore Digital Library
Author	Kota, S. Mace, M. Gupta, L. Vaidyanathan, R.
Copyright Year	2009
Description	Author affiliation: Department of Mechanical Engineering at the University of Bristol, BS8 1TR, UK (Mace, M.; Vaidyanathan, R.) \|\| Southern Illinois University, Carbondale, IL, USA (Kota, S.; Gupta, L.)
Abstract	The ultimate success of a human-robot-interface system depends on how accurately user control signals are classified. This paper is aimed at developing and testing a strategy to accurately classify human-robot control signals. The primary focus is on overcoming the dimensionality problem frequently encountered in the design of Gaussian multivariate signal classifiers. The dimensionality problem is overcome by selecting, using two different ranking criteria, a small set of linear combinations of the input signal space generated by the discrete cosine transform (DCT). The application of the resulting DCT-Gaussian signal classification strategy is demonstrated by classifying tongue-movement earpressure (TMEP) bioacoustic signals that have been proposed for control of an assistive robotic arm. Classification results show that the DCT-Gaussian classifiers outperform classifiers described in a previous study. Most noteworthy is the fact that the Gaussian multivariate control signal classifiers developed in this paper can be designed without having to collect a prohibitively large number of training signals in order to satisfy the dimensionality conditions. Consequently, the classification strategies will be especially beneficial for designing personalized assistive interfaces for individuals from whom only a limited number of training signals can reliably be collected due to severe disabilities.
Starting Page	5503
Ending Page	5508
File Size	280772
Page Count	6
File Format	PDF
ISBN	9781424438037
DOI	10.1109/IROS.2009.5354008
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal design Discrete cosine transforms Signal generators Orbital robotics Control systems Pattern classification Tracking Intelligent robots USA Councils Testing
Content Type	Text
Resource Type	Article

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