Raspberry Pi as a low-cost data acquisition system for human powered vehicles

[Display omitted] •Use of Raspberry Pi for riding dynamics data acquisition of a bicycle was researched.•Prototype system for sampling analogue and digital inputs was developed and built.•The system was successfully tested in the laboratory and in the field on a bicycle.•The performance is comparabl...

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Vydané v:Measurement : journal of the International Measurement Confederation Ročník 100; s. 7 - 18
Hlavný autor: Ambrož, Miha
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Elsevier Ltd 01.03.2017
Elsevier Science Ltd
Predmet:
Bicycle
Bicycles
Data acquisition
Data acquisition systems
Human powered vehicle
Raspberry Pi
Riding dynamics
Test vehicles
Vehicles
Human powered vehicle
Raspberry Pi
Bicycle
Data acquisition
Riding dynamics
ISSN:0263-2241, 1873-412X
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Popis
Shrnutí:[Display omitted] •Use of Raspberry Pi for riding dynamics data acquisition of a bicycle was researched.•Prototype system for sampling analogue and digital inputs was developed and built.•The system was successfully tested in the laboratory and in the field on a bicycle.•The performance is comparable to costlier and less portable data acquisition systems. The presented work was conducted to test the hypothesis that a Raspberry Pi Model B single board computer can be applied as a riding dynamics data acquisition system for use on human powered vehicles. The research of the subject was followed by the development, which led to a working prototype of such a data acquisition system. The procedure included the system component integration, system software setup and data acquisition software development. The prototype system was tested in laboratory conditions, and in the field using a bicycle as the test vehicle. The results prove the initial hypothesis and confirm that the performance of the developed system is comparable to some higher-priced and less portable data acquisition systems. Other possibilities of application of the developed system and intended future improvements are discussed in the final part of the paper.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2016.12.037