Experimental Investigation of Neuron Based Motion Detection in Internet of Things using Optical Camera Communications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332505" target="_blank" >RIV/68407700:21230/19:00332505 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICT.2019.8798857" target="_blank" >http://dx.doi.org/10.1109/ICT.2019.8798857</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICT.2019.8798857" target="_blank" >10.1109/ICT.2019.8798857</a>
Alternative languages
Result language
angličtina
Original language name
Experimental Investigation of Neuron Based Motion Detection in Internet of Things using Optical Camera Communications
Original language description
This paper experimentally investigates the performance of visible light based optical camera communications (OCC) link with motion detection (MD) for the optical Internet of things applications. This efficient MD can be considered another functionality of OCC in addition to traditional features of vision, illumination data communications and sensing. The experiments were conducted in an indoor static downlink OCC system employing a mobile phone front camera is employed as the receiver and an 8 x 8 red, green, and blue (RGB) light-emitting diode array as the transmitter. The motion is detected by observing the user’s finger movement in the form of centroid through the OCC link via a camera. The experiment results demonstrate that, the proposed scheme can detect all considered motions accurately with acceptable bit error rate (BER) performances at a transmission distance of up to 80 cm. We show a BER of 1.7 x 10-3 below the forward error correction limit of 3.8 x 10-3 over a transmission distance of up to 1 m. The proposed neuron based MD combined together with OCC can be considered an efficient system, which provides illumination, communications, and motion detection in a convenient smart home environment.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 26th International Conference on Telecommunications
ISBN
978-1-7281-0273-3
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
202-205
Publisher name
IEEE
Place of publication
Piscataway, NJ
Event location
Hanoi
Event date
Apr 8, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000495877200038