Experimental Investigation of Neuron Based Motion Detection in Internet of Things using Optical Camera Communications

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Experimental Investigation of Neuron Based Motion Detection in Internet of Things using Optical Camera Communications

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Experimental Investigation of Neuron Based Motion Detection in Internet of Things using Optical Camera Communications

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 26th International Conference on Telecommunications

ISBN

978-1-7281-0273-3

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

202-205

Název nakladatele

IEEE

Místo vydání

Piscataway, NJ

Místo konání akce

Hanoi

Datum konání akce

8. 4. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000495877200038