Design of A Sensor Based Smart Restroom System for Elderly People

مرکز و کتابخانه مطالعات اسلامی به زبان های اروپایی

منو

" Design of A Sensor Based Smart Restroom System for Elderly People "
Moshiur Rahman, Mohammad Moshiur Hossain, Gahangir

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	1106007
Doc. No	:	TLpq2356800169
Main Entry	:	Hossain, Gahangir
	:	Moshiur Rahman, Mohammad Moshiur
Title & Author	:	Design of A Sensor Based Smart Restroom System for Elderly People\ Moshiur Rahman, Mohammad MoshiurHossain, Gahangir
College	:	Texas A&M University - Kingsville
Date	:	2019
student score	:	2019
Degree	:	M.S.
Page No	:	76
Abstract	:	Over the past few decades sensor technologies are becoming increasingly popular. Elderly people who are living independently require full monitoring for their health status so that the unprecedented events (i.e., fall) can be avoided. This report describes the basic concepts, methodologies, and researches behind the concept and tries to highlight the necessity and scopes of a restroom system to assess the frailty of elderly people in order for them to have a comfortable, independent and more secured life at home. The concept of the designed restroom is created based on the necessary scenarios depending on the context of user analysis, socio-cultural and technology trends and user requirements study results. The restroom is prototyped with a multi-sensory space with interconnected devices where interactive content and services are accessible for the caregivers of the elderly people during their daily activities. The prototype is then demonstrated at Advanced Energy Simulation Laboratory in Texas A&M University-Kingsville. To predict the locations of the sensors, a Naïve Bayes classifier is used which helps in providing a constantly updated reference for the signals coming from different sensors and devices placed in different locations in the restroom. Some pilot data set was collected, and relevant online data was also explored. All methods have been passed through Institutional Review Board IRB, Texas A&M University-Kingsville.
Subject	:	Computer science