Finger-Gesture Recognition for Visible Light Communication Systems Using Machine Learning

Finger-Gesture Recognition for Visible Light Communication Systems Using Machine Learning

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 existin...

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Bibliographic Details
Main Authors: Julian Webber, Abolfazl Mehbodniya, Rui Teng, Ahmed Arafa, Ahmed Alwakeel
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
visible light communications (VLC)
gesture recognition (GR)
human-computer interaction (HCI)
human activity recognition (HAR)
machine learning (ML)
neural network
Online Access:https://www.mdpi.com/2076-3417/11/24/11582

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