Virginia, Baby Aisha Maritza
Universitas Mercu Buana

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Implementation Of Posenet In Semaphore Game For User Body Movement Recognition Virginia, Baby Aisha Maritza; Cherid, Anis
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Vol 21, No 1 (2024): APRIL 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/bit.v21i1.2691

Abstract

Currently, semaphore learning is still done manually with instructor guidance, which has limitations in instructor availability and time efficiency. This research aims to create a semaphore game that implements PoseNet to increase the efficiency and interactivity of learning semaphore gestures. Through the application of PoseNet technology, this game aims to recognize the user's body movements in real-time. By identifying 17 key points on the human body, PoseNet enables automatic, real-time detection of semaphore gestures. The system development method and model used is the prototype & MDLC model, and the implementation of the p5.js and ml5.js libraries provides the basis for the integration of PoseNet into the Semaphore game. The results of this research present a semaphore game that implements PoseNet as an innovative solution to improve semaphore gesture learning.