Smart Assist System Module for Paralysed Patient Using IoT Application

Authors

  • R Kishore Kanna Jerusalem College of Engineering
  • Nihar Ranjan Pradhan Vellore Institute of Technology University image/svg+xml
  • Bhawani Sankar Panigrahi Vardhaman College of Engineering image/svg+xml
  • Santi Swarup Basa Maharaja Sriram Chandra Bhanja Deo University image/svg+xml
  • Sarita Mohanty Odisha University of Agriculture and Technology image/svg+xml

DOI:

https://doi.org/10.4108/eetiot.5315

Keywords:

sensors, IoT, paralyzed, disabilities, gloves

Abstract

Those who are hearing impaired or hard of hearing face the most difficult challenges as a result of their handicap. To establish a bond or commit to something, people should be able to express their ideas and feelings via open channels of communication. To solve such issues, simple, transportable, and accurate assistive technology will probably be developed. The glove with sensors and an Arduino microcontroller is the major focus. This system was developed specifically to translate sign languages while analyzing gesture locations using smart technologies in custom gloves. The micro-controller identifies certain hand motions using sensors attached to gloves and converts sensor output data into text. Their capacity to converse may be aided by their ability to read the text on the mobile IOT application. Also, it aids in automating the houses of people with paralysis. It has the capacity to assess biological indicators like pulse and temperature as a patient monitoring device. The system will be put into place with the intention of enhancing the quality of life for people with disabilities and providing additional assistance in bridging the communication gap. It has a low price tag and a small design.

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Published

06-03-2024

How to Cite

[1]
R. Kishore Kanna, N. R. Pradhan, B. S. Panigrahi, S. S. Basa, and S. Mohanty, “Smart Assist System Module for Paralysed Patient Using IoT Application ”, EAI Endorsed Trans IoT, vol. 10, Mar. 2024.

Issue

Vol. 10 (2024): EAI Endorsed Transactions on Internet of Things

Section

Research article

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