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웨어러블 기기를 활용한 레거시 가전 기기 제어 시스템의 설계 및 구현

Design and Prototyping of Legacy Home Appliance Controlling System Using Wearable Devices

  • 구본현 (삼성전자 DMC연구소) ;
  • 최린 (고려대학교 전기전자공학과)
  • 투고 : 2015.03.18
  • 심사 : 2015.05.19
  • 발행 : 2015.08.15

초록

본 논문에서는 기존 레거시 웨어러블 기기들을 활용한 CE기기들의 제어 방법을 분석하고 개선 필요 사항들을 도출하였다. 이러한 선행 연구들에서는 추가적인 웨어러블 형태의 기기들을 착용해야만하고, 제어 명령 전송 등을 위한 특정 공간으로 이동해야만 하는 단점이 존재하였다. 이러한 문제점들을 해결하기 위해, 본 논문에서는 일반적인 스마트와치 형태의 웨어러블 기기를 활용하여, 기기를 제어할 수 있는 새로운 형태의 웨어러블 프레임워크를 제안하였다. 이를 통해, 스마트홈 서비스와 효과적으로 연계할 수 있는 시스템 구조와 제안 시스템의 효율성 검증 실험 결과를 소개하도록 한다.

In this paper, we analyzed the existing control methods of the legacy wearable-based CE devices and identified the requirements for improvements. In the conventional system, users waste their time configuring the initial network and registering their devices with the management server. To overcome these hurdles, we implemented the Easy-Setup framework for smart phones to personalized cloud devices.

키워드

참고문헌

  1. H. Heo, W. O. Lee, J. W. Lee, K. R. Park, E. C. Lee, and M. Whang, "Object Recognition and Selection Method by Gaze Tracking and SURF Algorithm," Proc. International Conference on Multimedia and Signal Processing (CMSP), Vol. 1, pp. 261-265, May 2011.
  2. D. Ionescu, B. Ionescu, C. Gadea, S. Islam, "An Intelligent Gesture Interface for Controlling TV Sets and Set-Top Boxes," Proc. IEEE International Symposium on Applied Computational Intelligence and Informatics, pp. 159-164, May 2011.
  3. L. Jing, "A Brand-independent Low Memory Footprint Universal Remote Control Method for Resourceconstrained Wearable Remote Controller," Proc. IEEE 2nd Global Conference on Consumer Electronics, pp. 367-368, Oct. 2013.
  4. S. Mikami, R. Wada, and T. Hase, "Remote Control with Switches on Fingertips," Proc. IEEE International Conference on Consumer Electronics, pp. 688-689, Jan. 2012.
  5. L. Jing, K. Yamagishi, J. Wang, Y. Zhou, T. Huang, and Z. Cheng, "A Unified Method for Multiple Home Appliances Control through Static Finger Gestures," Proc. IEEE/IPSJ International Symposium on Applications and the Internet, pp. 82-90, Jul. 2011.
  6. S. Chu, J. Tanaka, "Interacting with a Self-portrait Camera Using Motion-based Hand Gestures," Proc. The 11th Asia Pacific Conference on Computer Human Interaction, pp. 93-101 Sep. 2013.
  7. N. Friedman, Y. Singer, "Efficient Bayesian parameter estimation in large discrete domains," Advances in neural information processing systems 11, MIT Press Cambridge, pp. 417-423, Jul. 1999.
  8. S. H. Cho and S. D. Cha, "SAD: web session anomaly detection based on parameter estimation," Computers & Security, pp. 312-319, Jan. 2004.
  9. ZigBee Home Automation Standard, http://www.zigbee.org/Standards/ZigBeeHomeAutomation/Overview.aspx
  10. L.-P. Morency and T. Darrell, "Head Gesture Recognition in Intelligent Interfaces: The Role of Context in Improving Recognition," Proc. International Conference on Intelligent User Interfaces, pp. 32-38, Jan. 2006.
  11. D. K. H. Kohlsdorf and T. E. Starner, "MAGIC Summoning: Towards Automatic Suggesting and Testing of GesturesWith Low Probability of False Positives During Use," Journal of Machine Learning Research, Vol. 14, pp. 209-242, Jan. 2013.
  12. B. H. Koo, T. W. Ahn, J. S. In, Y. S. Park, and T. S. Shon, "R-URC: RF4CE-based universal remote control framework using smartphone," Proc. International Conference on Computa-tional Science and Its Applications (ICCSA'10), pp. 311-314, 2010.