Mobilna aplikacija za zaznavanje nevarnih padcev starostnikov

diplomsko delo univerzitetnega študijskega programa

David Štrakl (Author), Milan Zorman (Mentor), Mateja Verlič (Co-mentor)

Abstract

Diplomska naloga je nastala kot plod ideje pomoči pri nadzoru starejših ljudi, med katerim je tudi zaznavanje padca, kateri pogosto predstavljajo nevarnost za zdravje starejših ljudi. Najprej smo se lotili študije padca nasploh, nato pregledali že obstoječe rešitve in implementirali svojo aplikacijo, ki se od ostalih ločuje predvsem po tem, da za delovanje ne potrebuje drugega kot mobilni telefon z vgrajenim pospeškometrom, zaželjen pa je še sprejemnik GPS. Aplikacija je namenjena predvsem starejšim osebam in od njih ne zahteva niti posebnega znanja, niti interakcije z napravo. Beleženje in analiza podatkov potekata v ozadju, ob zaznanem padcu aplikacija opozori uporabnika, nato pa prek sporočila SMS še svojce, prijatelje ali druge ustrezne osebe. V diplomi so najprej opisane osnove za algoritem za zaznavo padca in že obstoječi algoritmi, nato implementacija aplikacije v Javi, algoritem za zaznavo in na koncu rezultati testiranj aplikacije.

Keywords

mobilne aplikacije;sistem globalnega določanja položaja;zaznava padcev;inteligentni sistemi;

Data

Language:	Slovenian
Year of publishing:	2010
Source:	Maribor
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[D. Štrakl]
UDC:	007.52:621.396(043.2)
COBISS:	14844182
Views:	2059
Downloads:	227
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Mobile application for fall detection of elderly people
Secondary abstract:	This diploma is a product of a idea to help to control elderly and detecting potentially risky falls, as a threat to the health of elderly. We studied characteristics of falls in general, reviewed existing solutions and implemented our own application, which differs from others that it does not need anything more than a mobile phone with built-in accelerometer. A GPS reciever is desirable for the application to work. The application is mainly designed for elderly and does not require special skills or interaction with the device. Recording and analysis of data runs in the background, while user, users's friends and relatives are alerted if a fall is detected. The basics of algorithms for fall an existing algorithms are described in the first section of this diploma, after that we describe the implementation of the application in Java, the algorithm for fall detection and results of testing.
Secondary keywords:	mobile apllications;global positioning system;fault detection;intelligent systems;
URN:	URN:SI:UM:
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko
Pages:	X, 30 str.
Keywords (UDC):	science and knowledge;organization;computer science;information;documentation;librarianship;institutions;publications;znanost in znanje;organizacije;informacije;dokumentacija;bibliotekarstvo;institucije;publikacije;prolegomena;fundamentals of knowledge and culture;propaedeutics;prolegomena;splošne osnove znanosti in kulture;activity and organizing;communication and control theory generally (cybernetics);human engineering;dejavnost in organiziranje;komunikacijska teorija in teorija nadzora nasploh;kibernetika;self-acting systems;samodejavni sistemi;applied sciences;medicine;technology;uporabne znanosti;medicina;tehnika;engineering;technology in general;inženirstvo;tehnologija na splošno;mechanical engineering in general;nuclear technology;electrical engineering;machinery;strojništvo;electrical engineering;elektrotehnika;
ID:	1003748