Physiological and GPS Data Fusion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43873364" target="_blank" >RIV/70883521:28140/15:43873364 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/IWCIM.2015.7347065" target="_blank" >http://dx.doi.org/10.1109/IWCIM.2015.7347065</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IWCIM.2015.7347065" target="_blank" >10.1109/IWCIM.2015.7347065</a>
Alternative languages
Result language
angličtina
Original language name
Physiological and GPS Data Fusion
Original language description
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 1 100 segments of the length 60 s recorded with the varying sampling period. The proposed algorithm includes their initial analysis, de-nosing 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Result continuities
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)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Intelligence for Multimedia Understanding (IWCIM)
ISBN
978-1-4799-7971-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
IEEE
Place of publication
New Jersey, Piscataway
Event location
Praha
Event date
Nov 29, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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