Bayesian probability-based hand property control method

Phil Young Kim, Ji Won Kim, Yunsick Sung

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

1 Scopus citations

Abstract

Deficiencies in low-priced motion recognition devices lead to diverse kinds of errors in recognizing palms and hands. To utilize lower-priced devices better, the recognition rate of the properties of hands should be improved. This chapter proposes a method that revises recognition errors in properties of hands. By calculating the Bayesian probability of the directions of a recognized palm, the directions were revised.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014
EditorsJengnan Juang
PublisherSpringer Verlag
Pages251-256
Number of pages6
ISBN (Print)9783319173139
DOIs
StatePublished - 2016
Event3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014 - Kaohsiung, Taiwan, Province of China
Duration: 19 Dec 201421 Dec 2014

Publication series

NameLecture Notes in Electrical Engineering
Volume345
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period19/12/1421/12/14

Keywords

  • Bayesian probability
  • Leap motion
  • Motion recognition device

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