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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

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  1/2018 - 18
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The Passive Operating Mode of the Linear Optical Gesture Sensor

CZUSZYNSKI, K. See more information about CZUSZYNSKI, K. on SCOPUS See more information about CZUSZYNSKI, K. on IEEExplore See more information about CZUSZYNSKI, K. on Web of Science, RUMINSKI, J. See more information about  RUMINSKI, J. on SCOPUS See more information about  RUMINSKI, J. on SCOPUS See more information about RUMINSKI, J. on Web of Science, WTOREK, J. See more information about WTOREK, J. on SCOPUS See more information about WTOREK, J. on SCOPUS See more information about WTOREK, J. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,858 KB) | Citation | Downloads: 116 | Views: 180

Author keywords
gesture recognition, human computer interaction, photodiodes, interactive system, wearable sensors

References keywords
gesture(26), sensor(15), recognition(12), sensors(6), ruminski(6), interaction(6), devices(6), czuszynski(6), comput(6), wtorek(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-02-28
Volume 18, Issue 1, Year 2018, On page(s): 145 - 156
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.01018
SCOPUS ID: 85043282873

Abstract
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The study evaluates the influence of natural light conditions on the effectiveness of the linear optical gesture sensor, working in the presence of ambient light only (passive mode). The orientations of the device in reference to the light source were modified in order to verify the sensitivity of the sensor. A criterion for the differentiation between two states - possible gesture and no gesture - was proposed. Additionally, different light conditions and possible features were investigated, relevant for the decision of switching between the passive and active modes of the device. The criterion was evaluated based on the specificity and sensitivity analysis of the binary ambient light condition classifier. The elaborated classifier predicts ambient light conditions with the accuracy of 85.15%. Understanding the light conditions, the hand pose can be detected. The achieved accuracy of the hand poses classifier trained on the data obtained in the passive mode in favorable light conditions was 98.76%. It was also shown that the passive operating mode of the linear gesture sensor reduces the total energy consumption by 93.34%, resulting in 0.132mA. It was concluded that optical linear sensor could be efficiently used in various lighting conditions.


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Copyright ©2001-2018
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

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