Finger-Gesture Recognition for Visible Light Communication Systems Using Machine Learning
Finger-Gesture Recognition for Visible Light Communication Systems Using Machine Learning
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Gesture recognition (GR) has many applications for human-computer interaction (HCI) in the healthcare, home, and business arenas. However, the common techniques to realize gesture recognition using video processing are computationally intensive and expensive. In this work, we propose to task existing visible light communications (VLC) systems with...
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Finger-Gesture Recognition for Visible Light Communication Systems Using Machine Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_bf0c9923886447a89c67a626a40acbd5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bf0c9923886447a89c67a626a40acbd5
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app112411582
