A comparison of 3D hand gesture recognition using dynamic time warping

Myoung Kyu Sohn; Sang Heon Lee; Dong Ju Kim; Byungmin Kim; Hyunduk Kim

doi:10.1145/2425836.2425916

A comparison of 3D hand gesture recognition using dynamic time warping

Myoung Kyu Sohn, Sang Heon Lee, Dong Ju Kim, Byungmin Kim, Hyunduk Kim

Division of Automotive Technology

Daegu Gyeongbuk Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Scopus citations

Abstract

To enhance a hand gesture recognition system, we compare performance in accordance with various parameters. We present an efficient framework for gesture recognition that can be easily implemented with low computational costs. Based on the simple K-NN classifier, we develop a pattern matching method through combining the Dynamic Time Warping (DTW) alignment and distance measure for similarity between two sequences. In this process, we extract various features of hand and apply various distance measure for similarity. In addition to the gesture features and distance measures, we proposed preprocessing method to enhance the performance.

Original language	English
Title of host publication	Proceedings of IVCNZ 2012 - The 27th Image and Vision Computing New Zealand Conference
Pages	418-422
Number of pages	5
DOIs	https://doi.org/10.1145/2425836.2425916
State	Published - 2012
Event	27th Image and Vision Computing New Zealand Conference, IVCNZ 2012 - Dunedin, New Zealand Duration: 26 Nov 2012 → 28 Nov 2012

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	27th Image and Vision Computing New Zealand Conference, IVCNZ 2012
Country/Territory	New Zealand
City	Dunedin
Period	26/11/12 → 28/11/12

Keywords

3D hand gesture
dynamic time warping
hand gesture recognition
human computer interaction

Access to Document

10.1145/2425836.2425916

Cite this

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title = "A comparison of 3D hand gesture recognition using dynamic time warping",

abstract = "To enhance a hand gesture recognition system, we compare performance in accordance with various parameters. We present an efficient framework for gesture recognition that can be easily implemented with low computational costs. Based on the simple K-NN classifier, we develop a pattern matching method through combining the Dynamic Time Warping (DTW) alignment and distance measure for similarity between two sequences. In this process, we extract various features of hand and apply various distance measure for similarity. In addition to the gesture features and distance measures, we proposed preprocessing method to enhance the performance.",

keywords = "3D hand gesture, dynamic time warping, hand gesture recognition, human computer interaction",

author = "Sohn, {Myoung Kyu} and Lee, {Sang Heon} and Kim, {Dong Ju} and Byungmin Kim and Hyunduk Kim",

year = "2012",

doi = "10.1145/2425836.2425916",

language = "English",

isbn = "9781450314732",

series = "ACM International Conference Proceeding Series",

pages = "418--422",

booktitle = "Proceedings of IVCNZ 2012 - The 27th Image and Vision Computing New Zealand Conference",

note = "27th Image and Vision Computing New Zealand Conference, IVCNZ 2012 ; Conference date: 26-11-2012 Through 28-11-2012",

}

Sohn, MK, Lee, SH, Kim, DJ, Kim, B & Kim, H 2012, A comparison of 3D hand gesture recognition using dynamic time warping. in Proceedings of IVCNZ 2012 - The 27th Image and Vision Computing New Zealand Conference. ACM International Conference Proceeding Series, pp. 418-422, 27th Image and Vision Computing New Zealand Conference, IVCNZ 2012, Dunedin, New Zealand, 26/11/12. https://doi.org/10.1145/2425836.2425916

A comparison of 3D hand gesture recognition using dynamic time warping. / Sohn, Myoung Kyu; Lee, Sang Heon; Kim, Dong Ju et al.
Proceedings of IVCNZ 2012 - The 27th Image and Vision Computing New Zealand Conference. 2012. p. 418-422 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - A comparison of 3D hand gesture recognition using dynamic time warping

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AU - Lee, Sang Heon

AU - Kim, Dong Ju

AU - Kim, Byungmin

AU - Kim, Hyunduk

PY - 2012

Y1 - 2012

N2 - To enhance a hand gesture recognition system, we compare performance in accordance with various parameters. We present an efficient framework for gesture recognition that can be easily implemented with low computational costs. Based on the simple K-NN classifier, we develop a pattern matching method through combining the Dynamic Time Warping (DTW) alignment and distance measure for similarity between two sequences. In this process, we extract various features of hand and apply various distance measure for similarity. In addition to the gesture features and distance measures, we proposed preprocessing method to enhance the performance.

AB - To enhance a hand gesture recognition system, we compare performance in accordance with various parameters. We present an efficient framework for gesture recognition that can be easily implemented with low computational costs. Based on the simple K-NN classifier, we develop a pattern matching method through combining the Dynamic Time Warping (DTW) alignment and distance measure for similarity between two sequences. In this process, we extract various features of hand and apply various distance measure for similarity. In addition to the gesture features and distance measures, we proposed preprocessing method to enhance the performance.

KW - 3D hand gesture

KW - dynamic time warping

KW - hand gesture recognition

KW - human computer interaction

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U2 - 10.1145/2425836.2425916

DO - 10.1145/2425836.2425916

M3 - Conference contribution

AN - SCOPUS:84873345655

SN - 9781450314732

T3 - ACM International Conference Proceeding Series

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EP - 422

BT - Proceedings of IVCNZ 2012 - The 27th Image and Vision Computing New Zealand Conference

T2 - 27th Image and Vision Computing New Zealand Conference, IVCNZ 2012

Y2 - 26 November 2012 through 28 November 2012

ER -

A comparison of 3D hand gesture recognition using dynamic time warping

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Publication series

Conference

Keywords

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