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Title:
Spremljanje spalnih navad s pametno uro
Authors:
ID
Klemenčič, Nejc
(
Author
)
ID
Holobar, Aleš
(
Mentor
)
More about this mentor...
Files:
UN_Klemencic_Nejc_2018.pdf
(2,92 MB)
MD5: 60D9B63738983F0C2043AA8240068CCD
PID:
20.500.12556/dkum/27b87311-118a-4410-badd-957a5eb84c8d
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Diplomsko delo obsega študijo spanja ter razvoj aplikacije za spremljanje spalnih navad. V uvodnem delu predstavimo spanje in vpliv zdravih spalnih navad na posameznika. V nadaljevanju predstavimo pametno uro Ticwatch E in operacijski sistem Wear OS. S pomočjo razvojnega okolja Android Studio za pametno uro razvijemo samostojno aplikacijo, ki omogoča spremljanje spalnih navad ter oceni uporabnikovo spalno aktivnost. Za implementacijo uporabimo merilnik pospeškov in merilnik srčnega utripa. Podatke hranimo lokalno na pametni uri. Delovanje testiramo in ga primerjamo z drugimi, že obstoječimi rešitvami.
Keywords:
pametna ura
,
spremljanje spalnih navad
,
aktigrafija
,
senzorji
Place of publishing:
[Maribor
Publisher:
N. Klemenčič
Year of publishing:
2018
PID:
20.500.12556/DKUM-71739
UDC:
004.087.5:681.118.1(043.2)
COBISS.SI-ID:
21812502
NUK URN:
URN:SI:UM:DK:GKOFNAWL
Publication date in DKUM:
19.10.2018
Views:
1053
Downloads:
165
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
28.08.2018
Secondary language
Language:
English
Title:
Monitoring sleep habits with a smartwatch
Abstract:
In our thesis we conduct a study on sleep and develop an application for monitoring sleep habits. In the introductory part, we describe sleep and the effect of healthy sleep habits on an individual. Next, we present the smartwatch Ticwatch E and the Wear OS operating system. By using Android Studio we developed a standalone smartwatch application that allows the user to monitor sleep habits and evaluate their sleep activity. For this purpose, we use the data from accelerometer and heart rate sensor. Data is saved locally on the smartwatch. We test the application and compare its functionality with that of other sleep monitoring applications.
Keywords:
smartwatch
,
monitoring sleep habits
,
actigraphy
,
sensors
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