Vision based gesture recognition

Saurabh Kumar Soni; Namrata Singh; Sagarika Gupta; Sachin Giri

Vision based gesture recognition

April 2018

Vol-4, Issue-2

Paper ID: 8032

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Technology

Keywords

Image Processing Hand gesture Python 2.7 Open CV Human-computer interaction Study status Application.

Abstract

Human-computer interaction is an essential part of most people's daily life. The plan is to design and implement the system that can perform general image processing of user image captured in real time so therefore most of the work is based on image processing techniques Hand gestures is the most important to exchange ideas, messages, thoughts etc. among different dumb people. Hand gesture can be defined as a variety of gestures or movements produced by hands or arms combined, it is always capable of expressing a signer’s intentions so it can act as a means of natural communication between human and machine. Studies on hand gesture recognition is very important for the development of new human-computer interaction. This paper reviewed the current study status and application of gesture recognition aiming to summarize the commonly used hand gesture recognition methods, analysis their strength and weak points, and list the challenging problems in current research of hand gesture recognition.

License

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Author Information

#	Name	Institute / Affiliation
1	Saurabh Kumar Soni	IMS Engineering College Ghaziabad
2	Namrata Singh	IMS Engineering College Ghaziabad
3	Sagarika Gupta	IMS Engineering College Ghaziabad
4	Sachin Giri	IMS Engineering College Ghaziabad

How to Cite

Use the following formats to cite this article in your research.

APA Style

Soni, Saurabh Kumar, Singh, Namrata, Gupta, Sagarika, & Giri, Sachin (2018). Vision based gesture recognition. International Journal of Advance Research and Innovative Ideas In Education, 4(2), 3154-3158.

MLA Style

Soni, Saurabh Kumar, et al. "Vision based gesture recognition." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 3154-3158.

IEEE Style

Saurabh Kumar Soni, Namrata Singh, Sagarika Gupta, and Sachin Giri, "Vision based gesture recognition," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, pp. 3154-3158, 2018.

Vancouver Style

Soni Saurabh Kumar, Singh Namrata, Gupta Sagarika, Giri Sachin. Vision based gesture recognition. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):3154-3158.

Harvard Style

Soni, Saurabh Kumar, Singh, Namrata, Gupta, Sagarika, & Giri, Sachin (2018) 'Vision based gesture recognition', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 3154-3158.

Chicago Style

Soni, Saurabh Kumar, et al. "Vision based gesture recognition." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 3154-3158.

Turabian Style

Soni, Saurabh Kumar, et al. "Vision based gesture recognition." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 3154-3158.