Preliminary study on the hand clapping action recognition based on the leap motion controller

Jin Woo Jung, Hyeseong Lee, Jung Soo Park, Yong One Cho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a method of recognizing human hand clapping action based on the Leap Motion Controller. Basic hand clapping is a kind of simple but somewhat fast periodic hand action. By the inevitable occlusion of two hands, fast speed of hand motion, and its neighboring noisy data, it is not easy to be recognized either by vision sensors or by sound sensors. Leap Motion Controller (LMC) is one of the most advanced and low-priced devices which can be used to detect the detailed motion of multiple moving objects in some restricted range. By the fast and accurate hand trajectory data from Leap Motion Controller, we can predict the relative position of two palms more accurately. And, by using the prior knowledge about basic hand clapping action sequence, LMCbased hand clapping recognizer has been developed. The average success ratio is 86.11% with the three different test users and 240 tests per each user.

Original languageEnglish
Title of host publicationProceedings of the 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014
EditorsHamid R. Arabnia, Leonidas Deligiannidis, Joan Lu, Fernando G. Tinetti, Jane You, George Jandieri, Gerald Schaefer, Ashu M. G. Solo
PublisherCSREA Press
Pages542-548
Number of pages7
ISBN (Electronic)1601322801, 9781601322807
StatePublished - 2014
Event2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014, at WORLDCOMP 2014 - Las Vegas, United States
Duration: 21 Jul 201424 Jul 2014

Publication series

NameProceedings of the 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014

Conference

Conference2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014, at WORLDCOMP 2014
Country/TerritoryUnited States
CityLas Vegas
Period21/07/1424/07/14

Keywords

  • Action recognition
  • Hand clapping
  • Leap Motion Controller

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