Hand-Raise Detection Pada Kelas Cendekia Menggunakan Kamera RGB Dan Depth

https://doi.org/10.22146/ijeis.34162

Muhammad Fajar Khairul Auni(1*), Muhammad Idham Ananta Timur(2), Ika Candradewi(3)

(1) Prodi Elektronika dan Instrumentasi, DIKE, FMIPA, UGM, Yogyakarta, Indonesia
(2) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(3) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(*) Corresponding Author

Abstract


The requisite of intelligent classroom’s to perform the quickest speaker lift determination of speakers in the classroom using the concept of ubiquitous computing where the technology exists but does not feel around. The classroom concept requires several capabilities such as knowing the ideal distance from the camera, performing real-time hand-lifted movements from the speaker using the AdaBoost method, and determining the fastest hand lift from the speaker in real-time. The camera's ideal distance to speakers is about 250 cm. the system has a detection accuracy of 97.485497% and accuracy using coordinates joint point of 98%. The system is also capable of determining the fastest time using AdaBoost with 93.5% accuracy and the accuracy of the fastest hands lifting using coordinates joint point of 95%.

Keywords


Ubiquitous Computing; intelligent classroom; Kinect; Gesture Recognition; AdaBoost

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DOI: https://doi.org/10.22146/ijeis.34162

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