MrGlove: FPGA-based data glove for heterogeneous devices

  • Seong Mo Lee
  • , Ji Hoon Jang
  • , Dae Young Park
  • , Sang Don Kim
  • , Ju Seong Lee
  • , Seon Kyeong Kim
  • , Seung Eun Lee

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

4 Scopus citations

Abstract

In this paper, we propose a glove based equipment (mrGlove) for a user interface that controls a device through hand motion recognition. The mrGlove provides more user experience compared to conventional devices such as a keyboard and a touchscreen. Our mrGlove is able to control a heterogeneous device (Windows or Android) that offers more convenience and user experience. Experimental results prove the feasibility of our proposal for enhancing convenience and user experience by obtaining control of an object through motion recognition in the PC and the smartphone.

Original languageEnglish
Title of host publicationAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
Pages341-345
Number of pages5
DOIs
StatePublished - 2014
EventAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 - , Taiwan, Province of China
Duration: 23 Aug 201325 Aug 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume260 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
Country/TerritoryTaiwan, Province of China
Period23/08/1325/08/13

Keywords

  • Data glove
  • FPGA
  • Heterogeneous device
  • Motion recognition

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