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Conference object
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Conference object . 2021
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https://doi.org/10.1145/348573...
Conference object . 2021
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Through-Screen Visible Light Sensing Empowered by Embedded Deep Learning

Authors: Liu, Hao (author); Ye, Hanting (author); Yang, J. (author); Wang, Q. (author);

Through-Screen Visible Light Sensing Empowered by Embedded Deep Learning

Abstract

Motivated by the trend of realizing full screens on devices such as smartphones, in this work we propose through-screen sensing with visible light for the application of fingertip air-writing. The system can recognize handwritten digits with under-screen photodiodes as the receiver. The key idea is to recognize the weak light reflected by the finger when the finger writes the digits on top of a screen. The proposed air-writing system has immunity to scene changes because it has a fixed screen light source. However, the screen is a double-edged sword as both a signal source and a noise source. We propose a data preprocessing method to reduce the interference of the screen as a noise source. We design an embedded deep learning model, a customized model ConvRNN, to model the spatial and temporal patterns in the dynamic and weak reflected signal for air-writing digits recognition. The evaluation results show that our through-screen fingertip air-writing system with visible light can achieve accuracy up to 91%. Results further show that the size of the customized ConvRNN model can be reduced by 94% with less than a 10% drop in performance. Embedded Systems Web Information Systems

Country
Netherlands
Related Organizations
Subjects by Vocabulary

Microsoft Academic Graph classification: Computer science business.industry Deep learning Signal Photodiode law.invention Interference (communication) Visible light sensing law Key (cryptography) Computer vision Data pre-processing Noise (video) Artificial intelligence business

Keywords

embedded AI, Through-screen sensing, embedded deep learning

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    visibility views 78
    download downloads 55
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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  • 78
    views
    55
    downloads
    Powered byOpenAIRE UsageCounts
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visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
2
Average
Average
Average
78
55
Funded by
EC| ENLIGHTEM
Project
ENLIGHTEM
European Training Network in Low-energy Visible Light IoT Systems
  • Funder: European Commission (EC)
  • Project Code: 814215
  • Funding stream: H2020 | MSCA-ITN-ETN
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