Hand gesture recognition based on segmented singular value decomposition

Jing Liu; Manolya Kavakli

doi:10.1007/978-3-642-15390-7_22

Hand gesture recognition based on segmented singular value decomposition

Jing Liu^*, Manolya Kavakli

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

The increasing interest in gesture recognition is inspired largely by creating a system which can identify specific human gestures and using gestures to convey information or control devices. In this paper we present a novel approach for recognizing hand gestures. The proposed approach is based on segmented singular value decomposition(SegSVD) and considers both local and global information regarding gesture data. In this approach, first singular vectors and singular values are evaluated together to define the similarity of two gestures. Experiments with hand gesture data prove that our approach can recognize gestures with high accuracy.

Original language	English
Title of host publication	Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings
Pages	214-223
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-15390-7_22
Publication status	Published - 8 Sept 2010
Event	14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010 - Cardiff, United Kingdom Duration: 8 Sept 2010 → 10 Sept 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6277 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010
Country/Territory	United Kingdom
City	Cardiff
Period	8/09/10 → 10/09/10

Access to Document

10.1007/978-3-642-15390-7_22

Cite this

Liu, J., & Kavakli, M. (2010). Hand gesture recognition based on segmented singular value decomposition. In Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings (PART 2 ed., pp. 214-223). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6277 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-15390-7_22

Liu, Jing ; Kavakli, Manolya. / Hand gesture recognition based on segmented singular value decomposition. Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings. PART 2. ed. 2010. pp. 214-223 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{6455ee9ecdd44775992798efe0188725,

title = "Hand gesture recognition based on segmented singular value decomposition",

abstract = "The increasing interest in gesture recognition is inspired largely by creating a system which can identify specific human gestures and using gestures to convey information or control devices. In this paper we present a novel approach for recognizing hand gestures. The proposed approach is based on segmented singular value decomposition(SegSVD) and considers both local and global information regarding gesture data. In this approach, first singular vectors and singular values are evaluated together to define the similarity of two gestures. Experiments with hand gesture data prove that our approach can recognize gestures with high accuracy.",

author = "Jing Liu and Manolya Kavakli",

year = "2010",

month = sep,

day = "8",

doi = "10.1007/978-3-642-15390-7_22",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings",

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Liu, J & Kavakli, M 2010, Hand gesture recognition based on segmented singular value decomposition. in Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6277 LNAI, pp. 214-223, 14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010, Cardiff, United Kingdom, 8/09/10. https://doi.org/10.1007/978-3-642-15390-7_22

Hand gesture recognition based on segmented singular value decomposition. / Liu, Jing; Kavakli, Manolya.
Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings. PART 2. ed. 2010. p. 214-223 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6277 LNAI, No. PART 2).

Research output: Chapter in Book/Published conference output › Conference publication

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N2 - The increasing interest in gesture recognition is inspired largely by creating a system which can identify specific human gestures and using gestures to convey information or control devices. In this paper we present a novel approach for recognizing hand gestures. The proposed approach is based on segmented singular value decomposition(SegSVD) and considers both local and global information regarding gesture data. In this approach, first singular vectors and singular values are evaluated together to define the similarity of two gestures. Experiments with hand gesture data prove that our approach can recognize gestures with high accuracy.

AB - The increasing interest in gesture recognition is inspired largely by creating a system which can identify specific human gestures and using gestures to convey information or control devices. In this paper we present a novel approach for recognizing hand gestures. The proposed approach is based on segmented singular value decomposition(SegSVD) and considers both local and global information regarding gesture data. In this approach, first singular vectors and singular values are evaluated together to define the similarity of two gestures. Experiments with hand gesture data prove that our approach can recognize gestures with high accuracy.

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Liu J, Kavakli M. Hand gesture recognition based on segmented singular value decomposition. In Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings. PART 2 ed. 2010. p. 214-223. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-15390-7_22

Hand gesture recognition based on segmented singular value decomposition

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