Hand-gesture based text input for wearable computers

Yang Liu*, Xiabi Liu, Yunde Jia

*Corresponding author for this work

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

14 Citations (Scopus)

Abstract

This paper proposes a novel text input method based on hand gestures for wearable computers. A character is firstly written by a fingertip and then recognized through a B-splines based character recognition method. The writing procedure is controlled by hand gestures including hand tracking, gesture recognition and fingertip positioning which are performed by an extended CONDENSATION algorithm. We have integrated the proposed text input method into a wearable vision system developed in our lab and tested the resulting text input system on Graffiti 2 alphabet. The experimental result shows that our method is promising for natural text input in wearable computers.

Original languageEnglish
Title of host publicationProceedings of the Fourth IEEE International Conference on Computer Vision Systems, ICVS'06
Pages8
Number of pages1
DOIs
Publication statusPublished - 2006
EventFourth IEEE International Conference on Computer Vision Systems, ICVS'06 - New York, NY, United States
Duration: 4 Jan 20067 Jan 2006

Publication series

NameProceedings of the Fourth IEEE International Conference on Computer Vision Systems, ICVS'06
Volume2006

Conference

ConferenceFourth IEEE International Conference on Computer Vision Systems, ICVS'06
Country/TerritoryUnited States
CityNew York, NY
Period4/01/067/01/06

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