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The passive operating mode of the linear optical gesture sensor

Abstract

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 0.132 mA. It was concluded that optical linear sensor could be efficiently used in various lighting conditions.

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Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
Advances in Electrical and Computer Engineering no. 18, edition 1, pages 145 - 156,
ISSN: 1582-7445
Language:
English
Publication year:
2018
Bibliographic description:
Czuszyński K., Rumiński J., Wtorek J.: The passive operating mode of the linear optical gesture sensor// Advances in Electrical and Computer Engineering. -Vol. 18, iss. 1 (2018), s.145-156
DOI:
Digital Object Identifier (open in new tab) 10.4316/aece.2018.01018
Sources of funding:
  • This work has been partially supported by NCBiR, FWF, SNSF, ANR and FNR in the framework of the ERA-NET CHIST-ERA II, project eGLASSES – The interactive eyeglasses for mobile, perceptual computing and by Statutory Funds of Electronics, Telecommunications and Informatics Faculty, Gdansk University of Technology.
Verified by:
Gdańsk University of Technology

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