Gpad and Fuzzy Logic based Assistance System for Disabled People

  • Authors

    • Harshal Mumbaikar
    • Guga Priya
    2018-09-01
    https://doi.org/10.14419/ijet.v7i3.34.18708
  • Fuzzy logic controller, GpaD, differentially abled people

  • Abstract

    This paper presents an assistance system for differentially abled people. It consists of Fuzzy logic control system and GpaD hand gesture technique to provide smooth and automatic control of the wheelchair in the presence of obstacles. The ultrasonic sensor is used for detecting obstacles. Actions in forward, reverse, right and left directions are taken care by GpaD which is based on IR sensor. Fuzzy logic controls the breaking power. The breaking power is based on the speed of the wheelchair and the distance between the wheelchair and an obstacle. The main purpose of this paper is to improve the safety of the differentially abled people and can be supervised from long distances without anybody’s help.

     

  • References

    1. [1]. Al-Haddad, A.; Sudirman, R.; Omar, C.; Hui, K. Y.; & Jimin. M. R. (2012, February): Wheelchair motion control guide using eye gaze and blinks based on pointbug algorithm. In Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on (pp. 37-42). IEEE 2012.

      [2]. Cecotti, H. (2016): A multimodal gaze-controlled virtual keyboard. IEEE Transactions on Human-Machine Systems, 46(4), 601-606 IEEE 2016.

      [3]. Chakraborty, T.; Nasim, M.; Malek, S. M. B.; Majumder, M. T. H.; Saeef, M. S.; & Al Islam, A. A. (2017, January): Low-cost finger gesture recognition system for disabled and elderly people. In Networking, Systems and Security (NSysS), 2017 International Conference on (pp. 180-184). IEEE 2017.

      [4]. Huo, X.; Park. H.; Kim. J.; & Ghovanloo, M. (2013): A dual-mode human computer interface combining speech and tongue motion for people with severe disabilities. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 21(6), 979-991 IEEE 2013.

      [5]. Megalingam, R. K.; Rangan V.; Krishnan, S.; & Alinkeezhil; A. B. E.(2016): Ir sensor-based gesture control wheelchair for stroke and sci patients. IEEE Sensors Journal, 16(17), 6755-6765.2016

      [6]. ML Sharma and Sheetal Atri (2011):†Fuzzy Rule based Automatic Braking System in Train using VHDL†IJCST Vol. 2, Iss ue 2, June 2011.

      [7]. Shih, C. H. (2014):Assisting people with multiple disabilities to improve computer typing efficiency through a mouse wheel and On-Screen Keyboard software. Research in developmental disabilities, 35(9), 2129-2136 Elsevier 2014 .

      [8]. Sreejith, M.; Rakesh, S.; Gupta, S.; Biswas, S.; & Das, P. P. (2015, December):Real-time hands-free immersive image navigation system using Microsoft Kinect 2.0 and Leap Motion Controller. In Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2015 Fifth National Conference on (pp. 1-4). IEEE 2015.

      [9]. S.Uppalapati and D.Kaur(2009): "Design and Implementation of a Mamdani Fuzzy Inference System on a FPGA", 28th North American Fuzzy Information Processing Society Annual Conference, 2009.

      [10]. Ubeda, A.; Ianez, E. & Azorin, J. M. (2011):Wireless and portable EOG-based interface for assisting disabled people. IEEE/ASME Transactions On Mechatronics, 16(5), 870-873 2011.

  • Downloads

  • How to Cite

    Mumbaikar, H., & Priya, G. (2018). Gpad and Fuzzy Logic based Assistance System for Disabled People. International Journal of Engineering & Technology, 7(3.34), 21-23. https://doi.org/10.14419/ijet.v7i3.34.18708

    Received date: 2018-09-01

    Accepted date: 2018-09-01

    Published date: 2018-09-01