A Novel Approach to Communicate with Video Game Character using Cascade Classifiers

Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_JADM-9-2_009

تاریخ نمایه سازی: 20 مرداد 1400

Abstract:

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 ۳D 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 ۸۶.۴% in the detection of five gestures. It also has an acceptable frame rate and can run at ۱۱ fps and ۸ fps in Windows and Android respectively.

Authors

M. Mohammadzadeh

Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran.

H. Khosravi

Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran.

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  • Sarkar S, P.V., and Chellappa R. "Deep Feature-based Face Detection ...
  • Chen Q, G.N., and Petriu E. "Real-time Vision-based Hand Gesture ...
  • Khodabakhsh, V. and M. Islami. "Detection of hand movements for ...
  • Qingtang L, Y.W., Linjing W, Jingxiu H, and Peng W. ...
  • Zhu Y, a.Y.B. "Real-Time Hand Gesture Recognition with Kinect for ...
  • Farzin Nezhad, F. and J. Rasti. "A computer-sports game for ...
  • Elrefaei L, A.A., Alamoudi H, Almutairi S, and Al-rammah F. ...
  • Viola, P. and M. Jones. "Rapid object detection using a ...
  • Mao Q, S.H., Liu Y, and Jia R, "Mini-Yolov۳: Real-Time ...
  • Nanda, M., You Only Gesture Once (YouGo): American Sign Language ...
  • Fang W, W.L., and Ren P, "Tinier-YOLO: A Real-Time Object ...
  • Karabasi, M., Z. Bhatti, and A. Shah. "A model for ...
  • Prakash, J.G., U.K., "Hand Gesture Recognition". International Journal of Recent ...
  • Mazzia V, K.A., Salvetti F, and Chiaberge M, "Real-Time Apple ...
  • Rautaray, S.S. and A. Agrawal. "Interaction with virtual game through ...
  • Hosseini, M.M. and J. Hassanian, "Applying mean shift and motion ...
  • Anitha, J., G. Mani, and K.V. Rao, Driver drowsiness detection ...
  • Barnouti, N.H., et al., "Face detection and recognition using Viola-Jones ...
  • Ren, J., N. Kehtarnavaz, and L. Estevez. "Real-time optimization of ...
  • Vikram, K. and S. Padmavathi. "Facial parts detection using Viola ...
  • Ojala, T., M. Pietikäinen, and D. Harwood, "A comparative study ...
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