| Intrinsic mode entropy: an enhanced classification means for automated Greek Sign Language gesture recognition. | |
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MedLine Citation:
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PMID: 19163853 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Sign language forms a communication channel among the deaf; however, automated gesture recognition could further expand their communication with the hearers. In this work, data from three-dimensional accelerometer and five-channel surface electromyogram of the user's dominant forearm are analyzed using intrinsic mode entropy (IMEn) for the automated recognition of Greek Sign Language (GSL) gestures. IMEn was estimated for various window lengths and evaluated by the Mahalanobis distance criterion. Discriminant analysis was used to identify the effective scales of the intrinsic mode functions and the window length for the calculation of the IMEn that contributes to the correct classification of the GSL gestures. Experimental results from the IMEn analysis of GSL gestures corresponding to ten words have shown 100% classification accuracy using IMEn as the only classification feature. This provides a promising bed-set towards the automated GSL gesture recognition. |
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Authors:
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Vasiliki E Kosmidou; Leontios J Hadjileontiadis |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2008 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2008 |
Date Detail:
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Created Date: 2009-02-16 Completed Date: 2009-05-12 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 5057-60 Citation Subset: IM |
Affiliation:
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Dept. of Electrical & Computer Engineering, Aristotle University of Thessaloniki, Greece. vkosm@auth.gr |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Artificial Intelligence Electromyography / methods* Entropy Forearm / physiology* Gestures* Greece Humans Muscle Contraction / physiology* Muscle, Skeletal / physiology* Pattern Recognition, Automated / methods* Sign Language* |
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