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Research on the Sensor-based System for Improving the Safety of Electric Wheelchair

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초록

In this paper, we propose a system that allows users to move more safely in a variety of terrain using an electric wheelchair. Developing from previous paper “Intelligent Powered Wheelchair'” in which the ability to avoid obstacles using the laser sensor, wheelchair automatically avoid the obstacles using listening to the sound. Thus, this paper uses the sensor-based topography and controls the motor speed of the electric wheelchair according to the terrain. When normally using a power wheelchair to change fast speed suddenly, the electric wheelchair overturned, and the user happens to fall in the future. In this case, because of the center of gravity of the wheelchair due to a sudden change in the law of momentum maintaining, it occurs dangerous for users. In addition, if wheel chair does not pass through the flat terrain and to safely pass the terrain changed by controlling the motor speed in order to reduce speed slowly. The sensor was used as an acceleration sensor and a gyro sensor by using a Kalman filter to output a correct angular value. In this paper, by providing SOS service system help to receive quickly the displaying the location map, users can predefine if the button is clicked, or need urgent help. The user's location using a GPS signal and Google API was built in the smart phone, GPS’s information identify the location of the user. In addition, the user's locations and user’s data are saved on the server that is responsible for managing in real time, if new users request and receive the notification signal analysis, they can ask the people who previously registered via message or email.

Abstract

In this paper, we propose a system that allows users to move more safely in a variety of terrain using an electric wheelchair. Developing from previous paper “Intelligent Powered Wheelchair'” in which the ability to avoid obstacles using the laser sensor, wheelchair automatically avoid the obstacles using listening to the sound. Thus, this paper uses the sensor-based topography and controls the motor speed of the electric wheelchair according to the terrain. When normally using a power wheelchair to change fast speed suddenly, the electric wheelchair overturned, and the user happens to fall in the future. In this case, because of the center of gravity of the wheelchair due to a sudden change in the law of momentum maintaining, it occurs dangerous for users. In addition, if wheel chair does not pass through the flat terrain and to safely pass the terrain changed by controlling the motor speed in order to reduce speed slowly. The sensor was used as an acceleration sensor and a gyro sensor by using a Kalman filter to output a correct angular value. In this paper, by providing SOS service system help to receive quickly the displaying the location map, users can predefine if the button is clicked, or need urgent help. The user's location using a GPS signal and Google API was built in the smart phone, GPS’s information identify the location of the user. In addition, the user's locations and user’s data are saved on the server that is responsible for managing in real time, if new users request and receive the notification signal analysis, they can ask the people who previously registered via message or email.

참고문헌 (12)

  1. Al-Rousan, M, "A wavelet-and neural network-based voice system for a smart wheelchair control", Journal of the Franklin Institute, 348(1), pp.90~100 (2011)
  2. Wallam, Fahad, "Dynamic finger movement tracking and voice commands based smart wheelchair", International Journal of Computer and Electrical Engineering, 3(4), pp.497~502 (2011)
  3. P. Boucher, "Design and validation of an intelligent wheelchair towards a clinically-functional outcome", Journal of NeuroEngineering and Rehabilitation, 10(58), pp.1~16 (2013)
  4. Han, Jianhai, "Design of two-wheeled self-balancing robot based on sensor fusion algorithm", Journal ref:International Journal of Automation Technology, 8(2), pp.216~221 (2014)
  5. Unluturk, Ali, "Design and PID control of two wheeled autonomous balance robot, Electronics", Computer and Computation (ICECCO), 2013 International Conference on. IEEE, pp.260~264 (2013)
  6. Le Nguyen, Duy, "The design and implementation of new vehicle black box using the OBD information", Computing and Convergence Technology (ICCCT), 2012 7th International Conference on. IEEE, pp.1281~1284 (2012)
  7. Lee, Jin-Shyan, "A comparative study of wireless protocols: Bluetooth, UWB, ZigBee, and Wi-Fi, Industrial Electronics Society, 2007", IECON 2007. 33rd Annual Conference of the IEEE, pp.46~51 (2007)
  8. W. Y. Bejuri, "Ubiquitous positioning: integrated GPS", Wireless LAN positioning for wheelchair navigation system, 2013, pp.7802(2013), 394~403
  9. Lakshman, T. V, "The performance of TCP", IP for networks with high bandwidth-delay products and random loss, ACM Transactions on Networking, pp.1997, 5(3)[DOI]
  10. Kalantri, Rakhi A, "Automatic wheelchair using gesture recognition", International Journal of Engineering and Innovative Technology (IJEIT), 2(9), pp.216~218 (2013)
  11. Gersdorf, Bernd, "A kalman filter for odometry using a wheel mounted inertial sensor", 10th International Conferenceon Informaticsin Control, Automationand Robotics(ICINCO), 1, pp.388~395 (2013)
  12. Baerveldt, Albert-Jan, "A low-cost and low-weight attitude estimation system for an autonomous helicopter, Intelligent Engineering Systems, 1997", INES’97. Proceedings., 1997 IEEE International Conference on, pp.391~395 (1997)

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