Built-in Smartphone Accelerometer Motion Pattern Recognition Using Wavelet Transform

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86084200" target="_blank" >RIV/61989100:27240/13:86084200 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-33018-6_46" target="_blank" >http://dx.doi.org/10.1007/978-3-642-33018-6_46</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-33018-6_46" target="_blank" >10.1007/978-3-642-33018-6_46</a>

Result language
angličtina
Original language name
Built-in Smartphone Accelerometer Motion Pattern Recognition Using Wavelet Transform
Original language description
This paper is concerned with motion pattern recognition using built-in accelerometers inside of modern mobile devices - smartphones. More and more people are using these devices nowadays without using its full potential for user motion recognition and evaluation. As accelerometer magnitude level comparison is not sufficient for motion pattern recognition morlet wavelet based recognition algorithm is introduced and tested as well as its device implementation is described and tested. Set of basic motion patterns walking, running and shaking with the device is tested and evaluated.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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