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Title:RAZPOZNAVANJE RAZPOLOŽENJA UPORABNIKA NA OSNOVI SENZORJEV (PAMETNE) NAPRAVE
Authors:ID Studenčnik, Matej (Author)
ID Šumak, Boštjan (Mentor) More about this mentor... New window
Files:.pdf MAG_Studencnik_Matej_2016.pdf (3,13 MB)
MD5: CE52B4059E2AA5714555F10B119C50EF
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
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:pametna naprava, razpoloženje, senzorji
Place of publishing:[Maribor
Publisher:M. Studenčnik
Year of publishing:2016
PID:20.500.12556/DKUM-63537 New window
UDC:621.395.721.5(043.2)
COBISS.SI-ID:20256790 New window
NUK URN:URN:SI:UM:DK:ELDA0OXY
Publication date in DKUM:21.10.2016
Views:2094
Downloads:284
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:USER MOOD RECOGNITION BASED ON SMART DEVICE SENSORS
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.
Keywords:smart device, mood, sensors


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