magistrsko delo
Matej Studenčnik (Author), Boštjan Šumak (Mentor)

Abstract

S pomočjo bliskovitega razvoja tehnologije so pametne naprave postale ključno sredstvo za raznorazna vsakodnevna opravila. Vpeljava številnih senzorjev je omogočila napredek do te mere, da lahko takšne naprave na različne načine uporabimo tudi za ugotavljanje in analizo uporabnikovega razpoloženja. Gre za dolgotrajen proces, ki običajno zahteva sodelovanje strokovnjakov z različnih področij. V raziskavi smo se usmerili predvsem na pametne telefone. S pomočjo aplikacije, razvite na osnovi spletnih tehnologij (HTML5, CSS3, JavaScript), smo pridobili rezultate za analizo samodejnega realno-časovnega zaznavanja na osnovi kamere ter drugih kontekstnih informacij (premik naprave, način upravljanja zaslona itd.).

Keywords

pametne naprave;razpoznavanje razpoloženja;senzorji;magistrske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: M. Studenčnik
UDC: 621.395.721.5(043.2)
COBISS: 20256790 Link will open in a new window
Views: 1213
Downloads: 221
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Other data

Secondary language: English
Secondary title: USER MOOD RECOGNITION BASED ON SMART DEVICE SENSORS
Secondary abstract: With the help of quickly growing technological advancements, smart devices became absolutely essential for performance of various everyday tasks. Introduction of numerous sensors has enabled progress to such a degree, that devices can be used in many ways, as determining and analysing user's mood. It is a long term process, which usually demands the cooperation of various experts in their field of knowledge. In the research we have mainly focused on smart phones. With the help of application, which was developed based on web technologies (HTML5, CSS3, JavaScript), we were able to acquire results, that we analysed through our automated real-time perception, based on monitoring context information (device movements, ways of managing the screen etc.), with the help of »face« or front camera on smart devices.
Secondary keywords: smart devices;mood recognition;sensors;
URN: URN:SI:UM:
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja
Pages: XI, 87 str.
ID: 9167825