IJHCS
Vol. 4 No. 6 (2022): IJHCS

IoT-Based Wheel Chair for Fall Detection and Health Monitoring

Rathish, Dr. C. R. (Unknown)
S, Dr. Sivaramakrishnan (Unknown)

Article Info

Publish Date
30 Jun 2022

Abstract

The IoT-based wheelchair fall detection and health care system is used to detect when a patient is fallen from the wheelchair. When a patient has fallen out of their wheelchair, the IoT-based wheelchair fall detection and health care system is utilized to determine when this has occurred. When there is a need for the patient, the accelerometer sensor is engaged by hand movement. The message is then communicated to the appropriate person via text or phone, and the need is satisfied. It is possible to automate the light and fan with your voice using voice recognition. This technology provides continuous monitoring of the patient's temperature and pulse.

Copyrights © 2022




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
IJHCS
Website

Abbrev

IJHCS

Publisher

Research Parks Publishing

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Neuroscience

Description

The International Journal of Human Computing Studies (IJHCS) publishes original research over the whole spectrum of work relevant to the theory and practice of modern interactive systems of the contemporary world. IJHCS accepts papers in forms of original research articles, review articles, book ...