한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제20권5호
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  • Pages.835-843
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  • 2017
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
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게임 어플리케이션을 위한 컨볼루션 신경망 기반의 실시간 제스처 인식 연구

Study on Real-time Gesture Recognition based on Convolutional Neural Network for Game Applications

  • Chae, Ji Hun (Dept. of Computer Engineering, Graduate School, Keimyung University) ;
  • Lim, Jong Heon (Dept. of Computer Engineering, Graduate School, Keimyung University) ;
  • Kim, Hae Sung (Faculty of Computer Engineering, Keimyung University) ;
  • Lee, Joon Jae (Faculty of Computer Engineering, Keimyung University)
  • 투고 : 2017.04.05
  • 심사 : 2017.04.21
  • 발행 : 2017.05.31
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초록

Humans have often been used gesture to communicate with each other. The communication between computer and person was also not different. To interact with a computer, we command with gesture, keyboard, mouse and extra devices. Especially, the gesture is very useful in many environments such as gaming and VR(Virtual Reality), which requires high specification and rendering time. In this paper, we propose a gesture recognition method based on CNN model to apply to gaming and real-time applications. Deep learning for gesture recognition is processed in a separated server and the preprocessing for data acquisition is done a client PC. The experimental results show that the proposed method is in accuracy higher than the conventional method in game environment.

키워드

참고문헌

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피인용 문헌

  1. Optimized Neural Network Weights and Biases Using Particle Swarm Optimization Algorithm for Prediction Applications vol.20, pp.8, 2017, https://doi.org/10.9717/kmms.2017.20.8.1406
  2. 시 공간 정규화를 통한 딥 러닝 기반의 3D 제스처 인식 vol.21, pp.5, 2017, https://doi.org/10.9717/kmms.2018.21.5.626
  3. The Status of Paid and Free Star Chart Game Applications: Focus on Google Play in Korea vol.14, pp.3, 2017, https://doi.org/10.5392/ijoc.2018.14.3.046
  4. Research and Application of Multifeature Gesture Recognition in Human-Computer Interaction Based on Virtual Reality Technology vol.2021, pp.None, 2017, https://doi.org/10.1155/2021/3603693