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Statistical segmentation and recognition of fingertip trajectories for a gesture interface

Published: 12 November 2007 Publication History

Abstract

This paper presents a virtual push button interface created by drawing a shape or line in the air with a fingertip. As an example of such a gesture-based interface, we developed a four-button interface for entering multi-digit numbers by pushing gestures within an invisible 2x2 button matrix inside a square drawn by the user. Trajectories of fingertip movements entering randomly chosen multi-digit numbers are captured with a 3D position sensor mounted on the the forefinger's tip. We propose a statistical segmentation method for the trajectory of movements and a normalization method that is associated with the direction and size of gestures. The performance of the proposed method is evaluated in HMM-based gesture recognition. The recognition rate of 60.0% was improved to 91.3% after applying the normalization method.

References

[1]
V. I. Pavlovic, R. Sharma, and T. S. Huang, "Visual interpretation of hand gestures for human-computer interaction: A review," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.19, no.7, pp.677--695, July 1997.
[2]
J. Rekimoto, "GestureWrist and GesturePad: Unobtrusive wearable interaction devices," Proc. of the 5th International Symposium on Wearable Computers, Oct. 2001.
[3]
K. Tsukada and M. Yasumura, "Ubi-Finger: Gesture input device for mobile use," Proc. of 5th Asia Pacific Conference on Computer Human Interaction, vol.1, pp.388--400, Nov. 2002.
[4]
T. M. Sezgin, T. Stahovich, and R. Davis, "Sketch based interfaces: Early processing for sketch understanding," Perceptive User Interfaces Workshop, 2001.
[5]
X. D. Huang, Y. Ariki, and M. A. Jack, Hidden Markov models for speech recognition, University Press, Edinburgh, 1990.
[6]
S. Young, D. Kershaw, J. Odell, D. Ollason, V. Valtchev, and P. Woodland, The HTK Book, Microsoft.
[7]
K. Morimoto, C. Miyajima, K. Itou, and K. Takeda, "A virtual button interface using fingertip movements," 2007 IEEE International Conference of Machine Learning and Cybernetics (ICMLC 2007), pp. 2089--2093, Hong Kong, Aug. 2007.

Cited By

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  • (2017)State of the ArtRobust Hand Gesture Recognition for Robotic Hand Control10.1007/978-981-10-4798-5_3(9-24)Online publication date: 6-Jun-2017
  • (2012)Separator Design of Gesture Signals Based on Adaptive Threshold Using Wearable SensorsProceedings of the 2012 26th International Conference on Advanced Information Networking and Applications Workshops10.1109/WAINA.2012.97(7-12)Online publication date: 26-Mar-2012
  • (2011)A Survey on Hand Gesture Recognition in Context of Soft ComputingAdvanced Computing10.1007/978-3-642-17881-8_5(46-55)Online publication date: 2011

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cover image ACM Conferences
ICMI '07: Proceedings of the 9th international conference on Multimodal interfaces
November 2007
402 pages
ISBN:9781595938176
DOI:10.1145/1322192
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 November 2007

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Author Tags

  1. 3D position sensor
  2. affine transformation
  3. gesture interface
  4. hidden Markov model
  5. principal component analysis

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ICMI07
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ICMI07: International Conference on Multimodal Interface
November 12 - 15, 2007
Aichi, Nagoya, Japan

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Overall Acceptance Rate 453 of 1,080 submissions, 42%

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Cited By

View all
  • (2017)State of the ArtRobust Hand Gesture Recognition for Robotic Hand Control10.1007/978-981-10-4798-5_3(9-24)Online publication date: 6-Jun-2017
  • (2012)Separator Design of Gesture Signals Based on Adaptive Threshold Using Wearable SensorsProceedings of the 2012 26th International Conference on Advanced Information Networking and Applications Workshops10.1109/WAINA.2012.97(7-12)Online publication date: 26-Mar-2012
  • (2011)A Survey on Hand Gesture Recognition in Context of Soft ComputingAdvanced Computing10.1007/978-3-642-17881-8_5(46-55)Online publication date: 2011

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