Sistem Pendeteksi Tangan Berbasis Mediapipe Dan OpenCV Untuk Pengenalan Gerakan

Authors

  • Muhammad Arif Universitas Pamulang
  • Gemilang Saum Haryono Universitas Pamulang
  • Naufal Fawwazi Arsyad Universitas Pamulang
  • Rubby Ramadhani Airmas Sahid Universitas Pamulang
  • Perani Rosyani Universitas Pamulang

Keywords:

Pendeteksi Tangan, Mediapipe, OpenCV, Pengenalan Gerakan, Interaksi Manusia-Komputer

Abstract

This project aims to develop a real-time hand detection system using Mediapipe and OpenCV technology. This system is able to detect hands, identify hand landmark positions, and calculate numbers based on finger positions. This implementation makes important contributions to gesture recognition and human-computer interaction applications.

References

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Published

2024-07-18

How to Cite

Arif, M. ., Saum Haryono, G. ., Fawwazi Arsyad, N. ., Ramadhani Airmas Sahid, R. ., & Rosyani , P. . (2024). Sistem Pendeteksi Tangan Berbasis Mediapipe Dan OpenCV Untuk Pengenalan Gerakan. BINER : Jurnal Ilmu Komputer, Teknik Dan Multimedia, 2(2), 173–177. Retrieved from https://journal.mediapublikasi.id/index.php/Biner/article/view/4323

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