MOVEMENT DETECTION IN THE ACCELEROMETER DATA

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00198302" target="_blank" >RIV/68407700:21230/12:00198302 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

MOVEMENT DETECTION IN THE ACCELEROMETER DATA

Popis výsledku v původním jazyce

In this article, the algorithms for movement detection in the accelerometer data are described. Two algorithms for movement detection in signal were designed. The purpose of these algorithms is to detect the start and end of the changes which represent movements sections in data. The ways of approaching this issue include second differentiation, points of the inflection, CUSUM algorithm and peak detection. The algorithms were tested on the accelerometer data which were acquired during human body movements. The body movements were based on exercises from Tinneti's balance assessment tool. Moreover the next test data were acquired during rehabilitation exercises after hip joint replacement. The automatic method for angle range computation were designed and tested on this data as well.

Název v anglickém jazyce

MOVEMENT DETECTION IN THE ACCELEROMETER DATA

Popis výsledku anglicky

In this article, the algorithms for movement detection in the accelerometer data are described. Two algorithms for movement detection in signal were designed. The purpose of these algorithms is to detect the start and end of the changes which represent movements sections in data. The ways of approaching this issue include second differentiation, points of the inflection, CUSUM algorithm and peak detection. The algorithms were tested on the accelerometer data which were acquired during human body movements. The body movements were based on exercises from Tinneti's balance assessment tool. Moreover the next test data were acquired during rehabilitation exercises after hip joint replacement. The automatic method for angle range computation were designed and tested on this data as well.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

BioDat 2012 - Conference on Advanced Methods of Biological Data and Signal Processing

ISBN

978-80-01-05153-5

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

2-6

Název nakladatele

České vysoké učení technické v Praze

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

27. 11. 2012

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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