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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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