Smart Media Journal (스마트미디어저널)

THE KOREAN INSTITUTE OF SMART MEDIA (한국스마트미디어학회)
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Research of Customized Electric Wheelchair Control System using NFC on Mobile Device Environment

모바일 디바이스 환경 기반의 NFC를 이용한 사용자 맞춤형 전동 휠체어 제어 시스템 연구

  • 박상현 (전남대학교 전자컴퓨터공학부) ;
  • 김진술 (전남대학교 전자컴퓨터공학부)
  • Received : 2014.03.05
  • Accepted : 2014.06.28
  • Published : 2015.06.30
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Abstract

In this paper proposes an idea for using NFC(Near Field Communication) on smalt mobile devices, you can easily control the electric wheelchair system. In this system with previous researches controlled a power wheelchair in a mobile device using Bluetooth communication, the board communicates with the integrated control of the wheelchair. With smart mobile devices, the wheelchair control board integrating the signal generated by checking real time so that the user can easily monitor the state of the wheelchair. Users are using smalt mobile devices, the wheelchair can be controlled easily, and the setting at any time according to the state of the individual and can be used. HEX format control is directly in hardware, allowing analysis was read, the user settings are typically used to match cards which support NFC technology such as bus card for registration, storing the selected information and enable read and were applicable. By applying this system, wheelchairs oriented aids disabled and older people able to access to provide with stability.

본 논문에서는 스마트 모바일 장치 및 NFC(Near Field Communication)를 이용하여 전동 휠체어를 쉽게 제어할 수 있는 시스템을 제안하고자 한다. 이 시스템은 기존 연구에서 진행하고 있는 전동 휠체어를 제어하기 위해 모바일 디바이스에 있는 Bluetooth통신 이용하여 휠체어 제어용 통합보드와 통신한다. 스마트 모바일 장치는 휠체어 제어용 통합보드에서 발생하는 신호를 실시간으로 체크하여 사용자가 휠체어의 상태를 쉽게 모니터링 할 수 있도록 한다. 사용자는 스마트 모바일 장치를 이용하여 휠체어를 쉽게 제어할 수 있으며, 개인의 상태에 맞게 언제든지 설정하여 사용할 수 있다. 제어는 HEX형식으로 하드웨어에서 신호를 바로 읽고 분석할 수 있도록 제작되었으며, 사용자에 맞춘 설정내용은 일반적으로 사용하는 버스카드(NFC)를 이용하여 등록, 저장과 설정한 내용을 읽어서 시스템에 적용할 수 있도록 하였다. 이 시스템을 적용함으로써 휠체어 중심의 보조기구가 아닌 사람중심의 보조기구로 장애인 및 노인들에게 편의와 안정성을 제공해 줄 수 있을 것이다.

Keywords

References

  1. Milenkovic, Aleksandar, Mladen Milosevic, and Emil Jovanov, "Smartphones for smart wheelchairs," Body Sensor Networks (BSN), 2013 IEEE International Conference on. IEEE, pp. 1-6. 2013.
  2. Kim, Jeonghee, et al., "Evaluation of a smartphone platform as a wireless interface between Tongue Drive system and electric-powered wheelchairs," Biomedical Engineering, IEEE Transactions on, Vol. 59, No. 6, pp. 1787-1796. 2012. https://doi.org/10.1109/TBME.2012.2194713
  3. Jia, P., and H. Hu, "Active shape model-based user identification for an intelligent wheelchair," International Journal of Advanced Mechatronic Systems, Vol. 1, No. 4, pp. 299-307. 2009. https://doi.org/10.1504/IJAMECHS.2009.026335
  4. Urdiales, Cristina, et al., "Biometrically modulated collaborative control for an assistive wheelchair," Neural Systems and Rehabilitation Engineering, IEEE Transactions on. Vol. 18, No. 4, pp. 398-408. 2010. https://doi.org/10.1109/TNSRE.2010.2056391
  5. Proenca, Ricardo, Arminda Guerra, and Pedro Campos, "A Gestural Recognition Interface for Intelligent Wheelchair Users," International Journal of Sociotechnology and Knowledge Development (IJSKD), Vol. 5, No. 2, pp. 63-81. 2013. https://doi.org/10.4018/jskd.2013040105
  6. Al-Rousan, M., and K. Assaleh, "A wavelet-and neural network-based voice system for a smart wheelchair control," Journal of the Franklin Institute, Vol. 348, No. 1, pp. 90-100. 2011. https://doi.org/10.1016/j.jfranklin.2009.02.005
  7. Postolache, Octavian, et al., "Pervasive sensing and computing for wheelchairs users health assessment," Bioengineering (ENBENG). 2011. ENBENG 2011. 1st Portuguese Meeting in. IEEE, pp. 1-4. 2011.
  8. Dai, Rui, Sharon Eve Sonenblum, and Stephen Sprigle. "A robust wheelchair pressure relief monitoring system." Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. IEEE, pp. 6107-6110, 2012.
  9. Harada, Susumu, et al. "Characteristics of Elderly User Behavior on Mobile Multi-touch Devices." Human-Computer Interaction, INTERACT 2013. Springer Berlin Heidelberg, pp. 323-341. 2013.
  10. Ok, Kerem, et al. "Current benefits and future directions of NFC services." Education and Management Technology (ICEMT). 2010 International Conference on. IEEE, 2010.
  11. Kostinger, Harald, et al. "Developing a NFC based patient identification and ward round system for mobile devices using the android platform." Point-of-Care Healthcare Technologies (PHT). 2013 IEEE. IEEE, pp. 176-179, 2013.
  12. Riekki, Jukka, Ivan Sanchez, and Mikko Pyykkonen. "NFC-based user interfaces." Near Field Communication (NFC), 2012 4th International Workshop on, IEEE, pp. 3-9, 2012.