A Novel IOT Based Smart Wheelchair Design for Cerebral Palsy Patients

Authors

  • Shaolin Kataria  School of Information Technology & Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India
  • Aditya Sunil Menon  School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India
  • Prerna Sultania  School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India
  • Sunjol Singh Paul  School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India
  • Kakelli Anil Kumar  School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

DOI:

https://doi.org//10.32628/CSEIT2174124

Keywords:

Cerebral palsy, Smart wheelchair, Gesture control, MicroBit, Node MCU, Internet of Things, Vitals monitoring system, Voice memo, Robotics, Sensor network

Abstract

Several patients face Cerebral Palsy. Such debilitating diseases impede motor control and make it difficult for them to operate traditional electric wheelchairs. Existing models of smart wheelchairs accommodate these issues to a certain extent but fail to deliver a solution for patients to use the wheelchairs completely autonomously. This paper proposes a novel model for a cost-effective smart wheelchair that takes simple gestures as input for movement, along with several quality-of-life and assistive modules such as vitals monitoring and voice memo support for patients suffering from memory loss, along with obstacle detection to ensure complete safety of the patient regardless of the terrain. The paper discusses the various modules present in the wheelchair, elaborates upon the algorithm used for input detection and calculation, and finally, the implementation of each module. Lastly, the paper enlists comparisons between existing smart wheelchair models and the proposed model and lists out its strengths, weaknesses and states its findings from the proposed system's results.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-08-30

Issue

Volume 7, Issue 4, July-August-2021

Section

Research Articles

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How to Cite

[1]
Shaolin Kataria, Aditya Sunil Menon, Prerna Sultania, Sunjol Singh Paul, Kakelli Anil Kumar, " A Novel IOT Based Smart Wheelchair Design for Cerebral Palsy Patients, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 4, pp.540-553, July-August-2021. Available at doi : https://doi.org/10.32628/CSEIT2174124