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Journal of Artificial Intelligence and Data Mining، جلد ۹، شماره ۲، صفحات ۲۲۷-۲۳۴
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عنوان انگلیسی A Novel Approach to Communicate with Video Game Character using Cascade Classifiers
چکیده انگلیسی مقاله Today, video games have a special place among entertainment. In this article, we have developed an interactive video game for mobile devices. In this game, the user can control the game’s character by his face and hand gestures. Cascading classifiers along with Haar-like features and local binary patterns are used for hand gesture recognition and face detection. The game’s character moves according to the current hand and face state received from the frontal camera. Various ideas are used to achieve the appropriate accuracy and speed. Unity 3D and OpenCV for Unity are employed to design and implement the video game. The programming language is C#. This game is written in C# and developed for both Windows and Android operating systems. Experiments show an accuracy of 86.4% in the detection of five gestures. It also has an acceptable frame rate and can run at 11 fps and 8 fps in Windows and Android respectively.
کلیدواژه‌های انگلیسی مقاله Interactive game, mobile game, hand gestures recognition, Face recognition, cascading classifiers
نویسندگان مقاله M. Mohammadzadeh |
Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran.

H. Khosravi |
Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran.

نشانی اینترنتی http://jad.shahroodut.ac.ir/article_1964_41866e3b65401c8c540c46297b2b8037.pdf
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