A Computer Vision Based Collaborative Augmented Reality Method For Human-Computer Interaction

Akhil Khare

A Computer Vision Based Collaborative Augmented Reality Method For Human-Computer Interaction

Akhil Khare * §

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A Computer Vision Based Collaborative Augmented Reality Method For Human-Computer Interaction

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Abstract

Computer vision is becoming very popular now a days since it can hold a lot of information at a very low cost. With this increasing popularity of computer vision there is a rapid development in the field of virtual reality as it provides an easy and efficient virtual interface between human and computer. At the same time much research is going on to provide more natural interface for human-computer interaction with the power of computer vision .the most powerful and natural interface for human-computer interaction is the hand gesture. Hand replaces the currently used cumbersome and inefficient devices like mouse and keyboard and with the bare hands one can easily communicate with the computer. This paper explores a system where hand gesture can be effectively used as a password in the login process for authentication of a person using just a simple web camera. Also this technique does not need any special device like head-mounted display, gloves or any special camera that operates beyond visible spectrum. So with this idea, with a simple video camera and bare hands, a person can interact with computer.

References

9 Cites in Article

Reference Format

Rajeshree Rokade,Dharmpal Doye,Manesh Kokare (2009). Hand Gesture Recognition by Thinning Method.
N Stergiopoulou,Papamarkos (2009). Hand gesture recognition using a neural network shape fitting technique.
C Chang (2006). Adaptive multiple sets of css features for hand posture recognition.
Shuying Zhao,Wenjun Tan,Chengdong Wu,Chunjiang Liu,Shiguang Wen (2009). A Novel Interactive Method of Virtual Reality System Based on Hand Gesture recognition.
Wei Du,Hua Li (2000). Vision based gesture recognition system with single camera.
K Francis,Quek (1994). Non-Verbal Vision-Based Interfaces.
Jakub Segen,Senthil Kumar (1998). Human-Computer Interaction using gesture Recognition and 3D Hand Tracking.
Jochen Triesch Robotic Gesture Recognition.
Cao Chuqing,Li Ruifeng,Ge Lianzheng Real time multihand posture recognition.

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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

Akhil Khare. 1970. "A Computer Vision Based Collaborative Augmented Reality Method For Human-Computer Interaction". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 22).

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GJCST Volume 11 Issue 22

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Computer vision Gesture recognition Haar-like feature Human-Computer interaction

Classification

GJCST Classification I.2.10

Submission ReceivedNovember 8, 2011
Peer Review Double Blind
Handling Editor
Accepted December 2, 2011
Published December 15, 2011

Version of record

v1.2

Issue date

January 12, 2012

Language

English

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Article Matrices

Total Score: 148

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Akhil Khare,Vinaya Kulkarni,Dr. Akhilesh Upadhayay (PhD/Dr. count: 1)

View Count (all-time): 253

Total Views (Real + Logic): 5876

Total Downloads (simulated): 257

Publish Date: 2011 12, Thu

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Total Views: 5.9K

Total Downloads: 257

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