Multiuser motion recognition system using smartphone LED luminescence | Zendy

Oh ByungHun | Zendy; Kim JungHyun | Zendy; Chung KwangWoo | Zendy; Hong KwangSook | Zendy

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Multiuser 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.

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