A Collaborative Augmented Reality System Based On Real Time Hand Gesture Recognition

§ BVDU COE

Send Message

To: Author

A Collaborative Augmented Reality System Based On Real Time Hand Gesture Recognition

Article Fingerprint

ReserarchID

CSTD87IP

A Collaborative Augmented Reality System Based On Real Time Hand Gesture Recognition Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
Reading Preferences
Font Size
Line Spacing
Background

Abstract

Human computer interaction is a major issue in research industry. In order to offer a way to enable untrained users to interact with computer more easily and efficiently gesture based interface has been paid more attention. Gesture based interface provides the most effective means for non-verbal interaction. Various devices like head mounted display and hand glove could be used by the user but they may be cumbersome to use and they limits the user action and make them tired. This problem can be solved by the real time bare hand gesture recognition technique for human computer interaction using computer vision 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. In this project we focus our attention to vision based recognition of hand gesture for personal authentication where hand gesture is used as a password. Different hand gestures are used as password for different personals.

References

12 Cites in Article
  1. R Rokade,D Doye,M Kokare (2009). Hand Gesture Recognition by Thinning Method.
  2. E Stergiopoulou,N Papamarkos (2009). Hand gesture recognition using a neural network shape fitting technique.
  3. C Chang (2006). Adaptive multiple sets of css features for hand posture recognition.
  4. Shuying Zhao,Wenjun Tan,Chengdong Wu,Chunjiang Liu,Shiguang Wen (2009). A Novel Interactive Method of Virtual Reality System Based on Hand Gesture recognition.
  5. Wei Du,Hua Li (2000). Vision based gesture recognition system with single camera.
  6. Akira Utsumi,Tsutomu Miyasato,Fumio Kishino (2011). Multi-camera hand pose recognition system using skeleton image.
  7. Ryohei Nakatsu (1996). Hand Gesture Recognition System using Multiple Cameras.
  8. Kristoffer Öfjäll (1994). Online Learning for Robot Vision.
  9. Jakub Segen,Senthil Kumar (1998). Human-computer interaction using gesture recognition and 3D hand tracking.
  10. Jochen Triesch Robotic Gesture Recognition.
  11. Cao Chuqing,Li Ruifeng,Ge Lianzheng (2010). Real time multihand posture recognition.
  12. Yikai Fang,Kongqiao Wang,Jian Cheng,Hanqing Lu (2007). A Real-Time Hand Gesture Recognition Method.

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. . "A Collaborative Augmented Reality System Based On Real Time Hand Gesture Recognition". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 23).

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST Classification H.5.1
I.2.10
Version of record

v1.2

Issue date
February 10, 2012

Language
English
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 6.3K
Total Downloads: 286
All Trends

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

A Collaborative Augmented Reality System Based On Real Time Hand Gesture Recognition

Akhil Khare
Akhil Khare BVDU COE