Open AccessMultiuser motion recognition system using smartphone LED luminescence
Author(s) -
Oh ByungHun,
Kim JungHyun,
Chung KwangWoo,
Hong KwangSook
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2014.4328
Subject(s) - usb , interface (matter) , computer vision , computer science , gesture , rotation (mathematics) , controller (irrigation) , tracking (education) , artificial intelligence , motion (physics) , match moving , gesture recognition , motion detection , tracking system , computer hardware , kalman filter , psychology , pedagogy , software , parallel computing , biology , programming language , bubble , maximum bubble pressure method , agronomy
A novel multiuser motion recognition system that uses a smartphone detection method and tracking interface is proposed. This multiuser motion recognition system provides a motion control interface between devices using an image‐based object tracking algorithm through smartphone light‐emitting diode (LED) luminescence. It requires just a universal serial bus (USB) camera and personal smartphone instead of expensive equipment to provide a motion control interface. It recognises the user's gestures by tracking three‐dimensional (3D) distance and the rotation angle of the smartphone, which acts essentially as a controller in the user's hand.