Hand posture Recognition for shape variant hands

Ayesha Butalia*, A.K. Ramani**, Parag Kulkarni***, Swapnil Patil****, Manjari Bangali*****
* Assisatant Professor, Department of Computer, MITCOE, Pune.
**-***** Faculty, Department of Computer, MITCOE, Pune.
Periodicity:May - July'2011
DOI : https://doi.org/10.26634/jfet.6.4.1479

Abstract

There are many types of input devices are presents such as mouse, keyboard, etc. But with the development in the field of computer this input devices are not sufficient. So due to some limitation to those devices, direct use of the hands as input device can act to be attractive and effective method. Since human being has different size for hand for different person, the most challenging problem consists of the segmentation and the correct classification of the information gathered from the input data. Our task is to extract this information in a time efficient manner and also the feature extracted should be correct. Instead of variation in the size of hand the feature extracted should be consistent. Our approach gives the best solution to extract information even if there is change in the size and shape of hand.

Keywords

Hand Posture, Skeleton, 2D-Transformation, Orientation.

How to Cite this Article?

Butalia, A., Ramani, A. K., Kulkarni, P., Patil , S., and Bangali , M. (2011). Hand Posture Recognition for Shape Variant Hands. i-manager’s Journal on Future Engineering and Technology, 6(4), 1-6. https://doi.org/10.26634/jfet.6.4.1479

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