Physiological and GPS Data Fusion

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F15%3A43899501" target="_blank" >RIV/60461373:22340/15:43899501 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/15:00239798 RIV/00216208:11150/15:10317943

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7347065&filter%3DAND%28p_IS_Number%3A7347057%29%26rowsPerPage%3D50" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7347065&filter%3DAND%28p_IS_Number%3A7347057%29%26rowsPerPage%3D50</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IWCIM.2015.7347065" target="_blank" >10.1109/IWCIM.2015.7347065</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Physiological and GPS Data Fusion

Popis výsledku v původním jazyce

The paper deals with fusion of physiological and GPS data acquired during cycling and their analysis using general methods of multichannel signal processing. Experimental data were acquired during 17 identical cycling routes each about 12 km long including more then 1100 segments of the length 60 s recorded with the varying sampling period. The proposed algorithm includes their initial analysis, de-noising using selected digital filters, interpolation and resampling in the first stage followed by evaluation of the cross-correlation between the heart rate and the altitude gradient of positioning data recorded by the GPS system. Results obtained present (i) relation between the heart rate and the slope with the positive regression coefficient 6.04 and (ii) the heart rate and speed with the negative regression coefficient -1.67 over all segments analyzed.

Název v anglickém jazyce

Physiological and GPS Data Fusion

Popis výsledku anglicky

The paper deals with fusion of physiological and GPS data acquired during cycling and their analysis using general methods of multichannel signal processing. Experimental data were acquired during 17 identical cycling routes each about 12 km long including more then 1100 segments of the length 60 s recorded with the varying sampling period. The proposed algorithm includes their initial analysis, de-noising using selected digital filters, interpolation and resampling in the first stage followed by evaluation of the cross-correlation between the heart rate and the altitude gradient of positioning data recorded by the GPS system. Results obtained present (i) relation between the heart rate and the slope with the positive regression coefficient 6.04 and (ii) the heart rate and speed with the negative regression coefficient -1.67 over all segments analyzed.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the International Workshop on Computational Intelligence for Multimedia Understanding IWCIM 2015

ISBN

978-1-4673-8457-5

ISSN

—

e-ISSN

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Počet stran výsledku

4

Strana od-do

"08/1"-"08/4"

Název nakladatele

IEEE Institute of Electrical and Electronics Engineers

Místo vydání

Piscataway, New Jersey

Místo konání akce

Praha

Datum konání akce

29. 10. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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