Real-time virtual instruments based on neural network system

Hon Hang Chang, Chun Hong Huang, Ting Kuo Lin, Timothy K. Shih, Shulei Wu

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

Abstract

Research in the field of Human-Computer Interaction (HCI) has become more and more frequently in our life. These related applications not only make our lives more convenient and efficiency, but also reduce the overhead costs. Users can more naturally, quickly and intuitively convey commands through different types of HCI applications to computer. Leap Motion1 is used to capture the information of users hand in this paper. Further recognize the hand gesture of user to reduce the burden of operating virtual instrument. We using neural network to analyze the information which captured from Leap Motion, then convey commands to computer. Finally, this paper will prove our system could maintain in real time and accurately state.

Original languageEnglish
Title of host publication2015 8th International Conference on Ubi-Media Computing, UMEDIA 2015 - Conference Proceeedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages163-167
Number of pages5
ISBN (Electronic)9781467382700
DOIs
StatePublished - 12 Oct 2015
Event8th International Conference on Ubi-Media Computing, UMEDIA 2015 - Colombo, Sri Lanka
Duration: 24 Aug 201526 Aug 2015

Publication series

Name2015 8th International Conference on Ubi-Media Computing, UMEDIA 2015 - Conference Proceeedings

Conference

Conference8th International Conference on Ubi-Media Computing, UMEDIA 2015
Country/TerritorySri Lanka
CityColombo
Period24/08/1526/08/15

Keywords

  • Hand Gesture Recognition
  • Leap Motion
  • Neural Network
  • Virtual Instruments

Fingerprint

Dive into the research topics of 'Real-time virtual instruments based on neural network system'. Together they form a unique fingerprint.

Cite this