HMM based hand gesture recognition: A review on techniques and approaches

M. A. Moni, A. B.M. Shawkat Ali

    Research output: Book chapter/Published conference paperConference paperpeer-review

    55 Citations (Scopus)

    Abstract

    Gesture is one of the most natural and expressive ways of communications between human and computer in a virtual reality system. We naturally use various gestures to express our own intentions in everyday life. Hand gesture is one of the important methods of non-verbal communication for human beings for its freer in movements and much more expressive than any other body parts. Hand gesture recognition has a number of potential applications in humancomputer interaction, machine vision, virtual reality, machine control in industry, and so on. As a gesture is a continuous motion on a sequential time series, the HMMs (Hidden Markov Models) must be a prominent recognition tool. The most important thing in hand gesture recognition is what the input features are that best represent the characteristics of the moving hand gesture.This paper presents part of literature review on ongoing research and findings on different technique and approaches in gesture recognition using HMMs for vision-based approach.

    Original languageEnglish
    Title of host publicationProceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
    Pages433-437
    Number of pages5
    DOIs
    Publication statusPublished - 2009
    Event2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009 - Beijing, China
    Duration: 08 Aug 200911 Aug 2009

    Publication series

    NameProceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009

    Conference

    Conference2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
    Country/TerritoryChina
    CityBeijing
    Period08/08/0911/08/09

    Fingerprint

    Dive into the research topics of 'HMM based hand gesture recognition: A review on techniques and approaches'. Together they form a unique fingerprint.

    Cite this