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عنوان
Design of A Sensor Based Smart Restroom System for Elderly People

پدید آورنده
Moshiur Rahman, Mohammad Moshiur

موضوع
Computer science

رده

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

NATIONAL BIBLIOGRAPHY NUMBER

Number
TL51997

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Design of A Sensor Based Smart Restroom System for Elderly People
General Material Designation
[Thesis]
First Statement of Responsibility
Moshiur Rahman, Mohammad Moshiur
Subsequent Statement of Responsibility
Hossain, Gahangir

.PUBLICATION, DISTRIBUTION, ETC

Name of Publisher, Distributor, etc.
Texas A&M University - Kingsville
Date of Publication, Distribution, etc.
2019

GENERAL NOTES

Text of Note
76 p.

DISSERTATION (THESIS) NOTE

Dissertation or thesis details and type of degree
M.S.
Body granting the degree
Texas A&M University - Kingsville
Text preceding or following the note
2019

SUMMARY OR ABSTRACT

Text of Note
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.

UNCONTROLLED SUBJECT TERMS

Subject Term
Computer science

PERSONAL NAME - PRIMARY RESPONSIBILITY

Moshiur Rahman, Mohammad Moshiur

PERSONAL NAME - SECONDARY RESPONSIBILITY

Hossain, Gahangir

CORPORATE BODY NAME - SECONDARY RESPONSIBILITY

Texas A&M University - Kingsville

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

p

[Thesis]
276903

a
Y

Proposal/Bug Report

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