Online Continuous Scale Estimation of Hand Gestures

Woosuk KIM; Hideaki KUZUOKA; Kenji SUZUKI

doi:10.1587/transinf.E95.D.2447

Online Continuous Scale Estimation of Hand Gestures

Woosuk KIM, Hideaki KUZUOKA, Kenji SUZUKI

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The style of a gesture provides significant information for communication, and thus understanding the style is of great importance in improving gestural interfaces using hand gestures. We present a novel method to estimate temporal and spatial scale—which are considered principal elements of the style—of hand gestures. Gesture synchronization is proposed for matching progression between spatio-temporally varying gestures, and scales are estimated based on the progression matching. For comparing gestures of various sizes and speeds, gesture representation is defined by adopting turning angle representation. Also, LCSS is used as a similarity measure for reliability and robustness to noise and outliers. Performance of our algorithm is evaluated with synthesized data to show the accuracy and robustness to noise and experiments are carried out using recorded hand gestures to analyze applicability under real-world situations.

Publication: IEICE TRANSACTIONS on Information Vol.E95-D No.10 pp.2447-2455

Publication Date: 2012/10/01

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Online ISSN: 1745-1361

DOI: 10.1587/transinf.E95.D.2447

Type of Manuscript: PAPER

Category: Human-computer Interaction

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Woosuk KIM, Hideaki KUZUOKA, Kenji SUZUKI, "Online Continuous Scale Estimation of Hand Gestures" in IEICE TRANSACTIONS on Information, vol. E95-D, no. 10, pp. 2447-2455, October 2012, doi: 10.1587/transinf.E95.D.2447.
Abstract: The style of a gesture provides significant information for communication, and thus understanding the style is of great importance in improving gestural interfaces using hand gestures. We present a novel method to estimate temporal and spatial scale—which are considered principal elements of the style—of hand gestures. Gesture synchronization is proposed for matching progression between spatio-temporally varying gestures, and scales are estimated based on the progression matching. For comparing gestures of various sizes and speeds, gesture representation is defined by adopting turning angle representation. Also, LCSS is used as a similarity measure for reliability and robustness to noise and outliers. Performance of our algorithm is evaluated with synthesized data to show the accuracy and robustness to noise and experiments are carried out using recorded hand gestures to analyze applicability under real-world situations.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E95.D.2447/_p

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@ARTICLE{e95-d_10_2447,
author={Woosuk KIM, Hideaki KUZUOKA, Kenji SUZUKI, },
journal={IEICE TRANSACTIONS on Information},
title={Online Continuous Scale Estimation of Hand Gestures},
year={2012},
volume={E95-D},
number={10},
pages={2447-2455},
abstract={The style of a gesture provides significant information for communication, and thus understanding the style is of great importance in improving gestural interfaces using hand gestures. We present a novel method to estimate temporal and spatial scale—which are considered principal elements of the style—of hand gestures. Gesture synchronization is proposed for matching progression between spatio-temporally varying gestures, and scales are estimated based on the progression matching. For comparing gestures of various sizes and speeds, gesture representation is defined by adopting turning angle representation. Also, LCSS is used as a similarity measure for reliability and robustness to noise and outliers. Performance of our algorithm is evaluated with synthesized data to show the accuracy and robustness to noise and experiments are carried out using recorded hand gestures to analyze applicability under real-world situations.},
keywords={},
doi={10.1587/transinf.E95.D.2447},
ISSN={1745-1361},
month={October},}

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TY - JOUR
TI - Online Continuous Scale Estimation of Hand Gestures
T2 - IEICE TRANSACTIONS on Information
SP - 2447
EP - 2455
AU - Woosuk KIM
AU - Hideaki KUZUOKA
AU - Kenji SUZUKI
PY - 2012
DO - 10.1587/transinf.E95.D.2447
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2012
AB - The style of a gesture provides significant information for communication, and thus understanding the style is of great importance in improving gestural interfaces using hand gestures. We present a novel method to estimate temporal and spatial scale—which are considered principal elements of the style—of hand gestures. Gesture synchronization is proposed for matching progression between spatio-temporally varying gestures, and scales are estimated based on the progression matching. For comparing gestures of various sizes and speeds, gesture representation is defined by adopting turning angle representation. Also, LCSS is used as a similarity measure for reliability and robustness to noise and outliers. Performance of our algorithm is evaluated with synthesized data to show the accuracy and robustness to noise and experiments are carried out using recorded hand gestures to analyze applicability under real-world situations.
ER -