Performance evaluation of neural network assisted motion detection schemes implemented within indoor optical camera based communications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332394" target="_blank" >RIV/68407700:21230/19:00332394 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1364/OE.27.024083" target="_blank" >https://doi.org/10.1364/OE.27.024083</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1364/OE.27.024083" target="_blank" >10.1364/OE.27.024083</a>
Alternative languages
Result language
angličtina
Original language name
Performance evaluation of neural network assisted motion detection schemes implemented within indoor optical camera based communications
Original language description
This paper investigates the performance of the neural network (NN) assisted motion detection (MD) over an indoor optical camera communication (OCC) link. The proposed study is based on the performance evaluation of various NN training algorithms, which provide efficient and reliable MD functionality along with vision, illumination, data communications and sensing in indoor OCC. To evaluate the proposed scheme, we have carried out an experimental investigation of a static indoor downlink OCC link employing a mobile phone front camera as the receiver and an 8 x 8 red, green and blue light-emitting diodes array as the transmitter. In addition to data transmission, MD is achieved using a camera to observe user’s finger movement in the form of centroids via the OCC link. The captured motion is applied to the NN and is evaluated for a number of MD schemes. The results show that, resilient backpropagation based NN offers the fastest convergence with a minimum error of 10-5 within the processing time window of 0.67 s and a success probability of 100 % for MD compared to other algorithms. We demonstrate that, the proposed system with motion offers a bit error rate which is below the forward error correction limit of 3.8 x 10-3, over a transmission distance of 1.17 m.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
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
Name of the periodical
Optics Express
ISSN
1094-4087
e-ISSN
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Volume of the periodical
27
Issue of the periodical within the volume
17
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
24082-24092
UT code for WoS article
000482098300036
EID of the result in the Scopus database
2-s2.0-85071093432