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Design and Development of Medical Sensor Networks for Differently Abled Persons

Authors:
Veeraprathap Veerabhadraiah
Fazaluddeen Doddahosur Mohammad Jamal
Narendra Kumar Guru Murthy

Keywords: Sign to Speech; American Sign Language; Sensor Controlled Wheelchair

Abstract:
13% of the global population is elderly and that percentage is estimated to increase to 16.4% by 2030 as life expectancy keeps increasing due in a great part to modern medical technologies. Serving the elderly and the paralytic persons is a noble cause; it is our responsibility to respect, care and fulfill their needs. Communication for a person having a speech disorder thoroughly relies upon the movement of their fingers, hands and articulations. In this paper, we propose a glove based Sign To Speech (STS) system that uses gestures of fingers and hand to convert the American Sign Language (ASL) into a Speech Signal synthesized to adapt for English and different Indian languages. To improve the services to the people in need of mobility assistance, a Sensor Controlled Wheelchair (SCW) is proposed with capabilities of navigating, detecting obstacles and moving automatically by utilizing Gesture and Ultrasonic Sensors that establish Ad-hoc Sensor Networks. The wheelchair is intended for elderly, medically challenged and paralytic patients, so they can lead a peaceful and satisfying life.

Pages: 55 to 61

Copyright: Copyright (c) IARIA, 2019

Publication date: October 27, 2019

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-744-3

Location: Nice, France

Dates: from October 27, 2019 to October 31, 2019