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Tracking of deformable human hand in real time as continuous input for gesture-based interaction

Published: 28 January 2007 Publication History

Abstract

Gesture input is a natural and effective interactive model. The tracking of deformable hand gesture is a very important task in gesture-based interaction. A novel real-time tracking approach is proposed to capture hand motion with single camera. It combines the characters of model-based and appearance-based method. The presented approach achieves auto-initialization by posture recognition and matching with image features. It solves the problem of interference among fingers successfully by the integration of K-Means clustering and Particle Filters. Moreover, tracking detection realizes resumption from tracking failure and automatic update of hand model. Experiments show that, the proposed method can achieve continuous real-time tracking of deformable hand gesture, and meets the requirements for gesture-based Human-Computer Interaction.

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cover image ACM Conferences
IUI '07: Proceedings of the 12th international conference on Intelligent user interfaces
January 2007
388 pages
ISBN:1595934812
DOI:10.1145/1216295
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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Publication History

Published: 28 January 2007

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Author Tags

  1. gesture input
  2. gesture-based interaction
  3. hand tracking
  4. multi-finger tracking

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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  • (2023)Transform Non-Touchable Screen into Touchable Screen Using Ultrasonic Sensor HC-SR04T2023 IEEE 21st Student Conference on Research and Development (SCOReD)10.1109/SCOReD60679.2023.10563414(296-300)Online publication date: 13-Dec-2023
  • (2018)Arm removal for static hand gesture recognitionJournal of Intelligent & Fuzzy Systems10.3233/JIFS-1868135:6(6489-6500)Online publication date: 24-Dec-2018
  • (2017)Combining hidden Markov model and fuzzy neural network for continuous recognition of complex dynamic gesturesThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-015-1147-233:10(1265-1278)Online publication date: 1-Oct-2017
  • (2016)Optical Flow Hand Tracking and Active Contour Hand Shape Features for Continuous Sign Language Recognition with Artificial Neural Networks2016 IEEE 6th International Conference on Advanced Computing (IACC)10.1109/IACC.2016.71(346-351)Online publication date: Feb-2016
  • (2016)Recognizing Hand Gestures Using Local Features: A Comparison StudyAdvances in Robot Design and Intelligent Control10.1007/978-3-319-49058-8_43(394-401)Online publication date: 29-Nov-2016
  • (2015)A lo-fi prototype testing with preschoolers to design organic user interfacesProceedings of the 12th International Conference on Advances in Computer Entertainment Technology10.1145/2832932.2832962(1-4)Online publication date: 16-Nov-2015
  • (2015)Hand Pose Recognition — Overview and Current ResearchVirtual Realities10.1007/978-3-319-17043-5_7(108-129)Online publication date: 1-Apr-2015
  • (2014)Transforming a Regular Screen Into a Touch Screen Using a Single WebcamJournal of Display Technology10.1109/JDT.2014.231248810:8(647-659)Online publication date: Aug-2014
  • (2013)Gestic-Based Human Machine Interface for Robot ControlProceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics10.1109/SMC.2013.461(2706-2711)Online publication date: 13-Oct-2013
  • (2013)A Unified Framework for 3D Hand TrackingProceedings, Part I, of the 9th International Symposium on Advances in Visual Computing - Volume 803310.1007/978-3-642-41914-0_14(129-139)Online publication date: 29-Jul-2013
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