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Title:RAZPOZNAVANJE SPECIFIČNIH PREMIKOV MOBILNE NAPRAVE IZ SIGNALOV ZAJETIH S POMOČJO VGRAJENIH INERCIJSKIH SENZORJEV
Authors:ID Kraner, Jože (Author)
ID Cigale, Boris (Mentor) More about this mentor... New window
ID Šprager, Sebastijan (Comentor)
Files:.pdf UNI_Kraner_Joze_2012.pdf (2,59 MB)
MD5: 37BE8B8EAEA2082A5A8E8DAACBEFE86D
PID: 20.500.12556/dkum/77ba6d89-9c82-4e71-a82d-d05e114bb21a
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo zajema aktualno tematiko naprednejšega načina interakcije človek-mobilni telefon. V diplomskem delu je predstavljen postopek, ki s pomočjo signalov, zajetih iz pospeškometra, vgrajenega v mobilno napravo, razpozna specifične premike mobilne naprave. Opisani so postopki zajemanja, segmentacije, prevzorčenja in časovnega poravnavanja signalov. Predlagan postopek razpoznavanja med različnimi premiki mobilne naprave temelji na analizi glavnih komponent. Predstavili smo rezultate testiranj zgrajenega postopka in prišli do ugotovitev, da postopek z 99% natančnostjo razpozna med tremi različnimi premiki. Pri razpoznavanju med 10 različnimi premiki je natančnost 75%. Postopek se je dobro izkazal tudi na področju biometrije, saj v 73% pravilno razpozna osebo, ki je izvedla določen premik naprave.
Keywords:razpoznavanje premikov, pospeškometer, mobilna naprava, analiza glavnih komponent, interakcija človek-mobilni telefon
Place of publishing:Maribor
Publisher:[J. Kraner]
Year of publishing:2012
PID:20.500.12556/DKUM-38404 New window
UDC:004.94:621.395.721.5(043.2)
COBISS.SI-ID:16495382 New window
NUK URN:URN:SI:UM:DK:D9MX9KW4
Publication date in DKUM:26.11.2012
Views:1980
Downloads:136
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:RECOGNITION OF SPECIFIC MOVEMENTS OF MOBILE DEVICE FROM SIGNALS ACQUIRED BY INTEGRATED INERTIAL SENSORS
Abstract:This diploma covers a topical issue of advanced method of human-device interaction using mobile phones. It describes a method, which recognizes the specific movements or gestures of the mobile device by using built-in accelerometer data. The procedures of data acquisition and segmentation, as well as resampling and time warping of the signals are described in detail. The proposed gesture-based recognition procedure of the mobile device is based on the Principal Component Analysis (PCA). Our test results show that by using the described method, the mobile device recognizes and differs among three different mobile device gestures with 99% accuracy. Moreover, the proper recognition of 10 different gestures occurs in 75% of all cases. Finally, the method yields fair results in the field of biometrics as it identifies the person who performs the movement with 73% accuracy.
Keywords:recognition of gestures, accelerometer, mobile device, principal component analysis, mobile interaction


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