doi: 10.4304/jsw.7.4.861-869
A Vision based Geometrical Method to find Fingers Positions in Real Time Hand Gesture Recognition
2Machine Vision Lab, CEERI/CSIR, Pilani Rajasthan, INDIA
3Digital Systems Group, CEERI/CSIR, Pilani Rajasthan, INDIA
Abstract—A novel method to calculate the bended finger’s angle has presented here which could be used to control the electro-mechanical robotic hand. It is assumed that the robotic hand has the human hand like joints and same number of degree of freedom as human hand. In many applications, equipment like human hand is needed to do the same kind of operation like human do. These days it is easy to make the electro-mechanical robotic hand which has five fingers and same joints but it is not easily controllable as the human hand for accurate job. In our method the hand gesture will be interpreted for controlling the robotic hand. The angles for all the fingers will be calculated and that could be further passed to the robotic hand for controlling its finger. User would perform gesture according to the action as he wants to be done by robotic hand. Here finger positions are detected using geometric analysis of hand in the extracted image, while region of interest cropping from the image make the algorithm faster.
Index Terms—Human Computer Interface, Action Recognition, Real Time Systems, Digital Image Processing, Skin Filter, Natural Computing, Gesture Recognition
Cite: Ankit Chaudhary, Jagdish L. Raheja, and Shekhar Raheja, "A Vision based Geometrical Method to find Fingers Positions in Real Time Hand Gesture Recognition," Journal of Software vol. 7, no. 4, pp. 861-869, 2012.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
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