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Control of computer pointer using hand gesture recognition in motion pictures

2020-12-24 10:24:51
Yalda Foroutan, Ahmad Kalhor, Saeid Mohammadi Nejati, Samad Sheikhaei
arXiv_CV
           
Abstract

A user interface is designed to control the computer cursor by hand detection and classification of its gesture. A hand dataset with 6720 image samples is collected, including four classes: fist, palm, pointing to the left, and pointing to the right. The images are captured from 15 persons in simple backgrounds and different perspectives and light conditions. A CNN network is trained on this dataset to predict a label for each captured image and measure the similarity of them. Finally, commands are defined to click, right-click and move the cursor. The algorithm has 91.88% accuracy and can be used in different backgrounds.

Abstract (translated)

URL

https://arxiv.org/abs/2012.13188

PDF

https://arxiv.org/pdf/2012.13188.pdf

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