Jurnal ULTIMA Computing
Vol 13 No 2 (2021): Ultima Computing : Jurnal Sistem Komputer

Hand Gesture Detection for Sign Language using Neural Network with Mediapipe

Arsheldy Alvin (Universitas Multimedia Nusantara)
Nabila Husna Shabrina (Unknown)
Aurelius Ryo (Unknown)
Edgar Christian (Unknown)



Article Info

Publish Date
30 Dec 2021

Abstract

The most popular way of interfacing with most computer systems is a mouse and keyboard. Hand gestures are an intuitive and effective touchless way to interact with computer systems. However, hand gesture-based systems have seen low adoption among end-users primarily due to numerous technical hurdles in detecting in-air gestures accurately. This paper presents Hand Gesture Detection for American Sign Language using K-Nearest Neighbor with Mediapipe, a framework developed to bridge this gap. The framework learns to detect gestures from demonstrations, it is customizable by end-users, and enables users to interact in real-time with computers having only RGB cameras, using gestures.

Copyrights © 2021






Journal Info

Abbrev

SK

Publisher

Subject

Computer Science & IT Control & Systems Engineering Engineering

Description

urnal ULTIMA Computing merupakan Jurnal Program Studi Sistem Komputer Universitas Multimedia Nusantara yang menyajikan artikel-artikel penelitian ilmiah dalam bidang Sistem Komputer serta isu-isu teoritis dan praktis yang terkini, mencakup komputasi, organisasi dan arsitektur komputer, programming, ...