International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

Frequency: 12

line decor
  
line decor

 Volume 6, Issue 4 (April 2019), Pages: 95-100

----------------------------------------------

 Original Research Paper

 Title: Autonomous wheelchair under a predefined environment

 Author(s): Anbuselvi Mathivanan *, Saravanan Palani

 Affiliation(s):

 Department of ECE, SSN College of Engineering, Tamilnadu, India

  Full Text - PDF          XML

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0001-9541-9856

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2019.04.011

 Abstract:

This research work proposes a prototype of low-cost smart wheelchair design. The significance of this model of the wheelchair is to move autonomously around a known environment, following a definite path. Existing systems include control action using a joystick, voice recognition, head movements, and eye motion. However, these systems include limitations in terms of operating complexity, the environment in which it is used and cost. Most importantly, the limitation of the existing system is the need for the continuous effort of the user in controlling the wheelchair. Hence, this work targets to aid the physically challenged persons to have improved mobility without much of human effort. An automatic wheelchair model is proposed that empowers navigation without continuous steering of a wheelchair by the user in a known environment. The model includes a set of sensors, infrared, ultrasonic, RFID reader and tags. The other significant components are the compass module, ATmega microcontroller, and motors. This system was designed and developed to enable low cost, reduced time and effort of the user. This paper provides a comprehensive overview of the design and validation of the autonomous wheelchair system. Further, the sophistication towards the GPS enabled autonomous system could be extended, which works well in different new environments. 

 © 2019 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Autonomous system, Wheelchair, Predefined map

 Article History: Received 23 June 2018, Received in revised form 25 January 2019, Accepted 13 February 2019

 Acknowledgement:

The authors acknowledge the support provided by Ms. N. Srividya, Ms. K. Sruthi and Ms. N. Soniya (Alumni of SSN College of engineering) for their contribution for the successful completion of this work.

 Compliance with ethical standards

 Conflict of interest:  The authors declare that they have no conflict of interest.

 Citation:

  Mathivanan A Palani S (2019). Autonomous wheelchair under a predefined environment. International Journal of Advanced and Applied Sciences, 6(4): 95-100

 Permanent Link to this page

 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 Fig. 9 Fig. 10 

 Tables

 No Table

----------------------------------------------

 References (5) 

  1. Nara S and Takahashi S (2006). Obstacle avoidance control for mobile robots based on vision. In the International Joint Conference SICE-ICASE, IEEE, Busan, South Korea: 5335-5338. https://doi.org/10.1109/SICE.2006.315455   [Google Scholar]
  2. Rechy-Ramirez EJ, Hu H, and McDonald-Maier K (2012). Head movements based control of an intelligent wheelchair in an indoor environment. In the IEEE International Conference on Robotics and Biomimetics, IEEE, Guangzhou, China: 1464-1469. https://doi.org/10.1109/ROBIO.2012.6491175   [Google Scholar]
  3. Rofer T, Mandel C, and Laue T (2009). Controlling an automated wheelchair via joystick/head-joystick supported by smart driving assistance. In the IEEE International Conference on Rehabilitation Robotics, IEEE, Kyoto, Japan: 743-748. https://doi.org/10.1109/ICORR.2009.5209506   [Google Scholar]
  4. Ruíz-Serrano A, Reyes-Fernández MC, Posada-Gómez R, Martínez-Sibaja A, and Aguilar-Lasserre AA (2014). Obstacle avoidance embedded system for a smart wheelchair with a multimodal navigation interface. In the 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, IEEE, Mexico, North America: 1-6. https://doi.org/10.1109/ICEEE.2014.6978290   [Google Scholar]
  5. Simpson RC and Levine SP (2002). Voice control of a powered wheelchair. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 10(2): 122-125. https://doi.org/10.1109/TNSRE.2002.1031981    [Google Scholar] PMid:12236450