Hand Gesture Interaction with Human-Computer

Dr. Dejan Chandra Gope
Dr. Dejan Chandra Gope * §
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Hand Gesture Interaction with Human-Computer

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Abstract

Hand gestures are an important modality for human computer interaction. Compared to many existing interfaces, hand gestures have the advantages of being easy to use, natural, and intuitive. Successful applications of hand gesture recognition include computer games control, human-robot interaction, and sign language recognition, to name a few. Vision-based recognition systems can give computers the capability of understanding and responding to hand gestures. The paper gives an overview of the field of hand gesture interaction with Human-Computer, and describes the early stages of a project about gestural command sets, an issue that has often been neglected. Currently we have built a first prototype for exploring the use of pie-and marking menus in gesture-based interaction. The purpose is to study if such menus, with practice, could support the development of autonomous gestural command sets. The scenario is remote control of home appliances, such as TV sets and DVD players, which in the future could be extended to the more general scenario of ubiquitous computing in everyday situations. Some early observations are reported, mainly concerning problems with user fatigue and precision of gestures. Future work is discussed, such as introducing flow menus for reducing fatigue, and control menus for continuous control functions. The computer vision algorithms will also have to be developed further.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Dejan Chandra Gope. 1970. "Hand Gesture Interaction with Human-Computer". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 23).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Computer Vision Based Gesture RecognitionGesture CommandHand gestureHand TrackingHCIHuman-Computer interactionMarking Menu
Classification
GJCST Classification I.5.4
  • Submission ReceivedNovember 3, 2011
  • Peer Review Double Blind
    Handling Editor
  • Accepted December 3, 2011
  • Published December 18, 2011
Version of record

v1.2

Issue date
February 10, 2012

Language
English
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Hand Gesture Interaction with Human-Computer

Dr. Gope
Dr. Gope Dhaka University of Engineering and Technology
  • Submission ReceivedNovember 3, 2011
  • Peer Review Double Blind
    Handling Editor
  • Accepted December 3, 2011
  • Published December 18, 2011