Design and Implementation of a Deep Learning-Based Hand Gesture Recognition System for Rehabilitation Internet-of-Things (RIoT) Environments Using MediaPipe

Design and Implementation of a Deep Learning-Based Hand Gesture Recognition System for Rehabilitation Internet-of-Things (RIoT) Environments Using MediaPipe

Frequent hospital visits for hand rehabilitation exercises, such as strengthening and opposition exercises, present significant challenges, especially for patients in remote areas. This paper addresses this problem by developing a Rehabilitation Internet-of-Things (RIOT) system that utilizes MediaP...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Nurul Hanis Mohd Dhuzuki, Ahmad Anwar Zainuddin, Nur Anis Sofea Kamarul Zaman, Alin Nur Maisarah Ahmad Razmi, Wonderful Shammah Kaitane, Asmarani Ahmad Puzi, Mohd Naqiuddin Johar, Maslina Yazid, Nor Azlin Mohd Nordin, Shahrul Naim Sidek, Hasan Firdaus Mohd Zaki
Format: Artikel
Sprache:English
Veröffentlicht: IIUM Press, International Islamic University Malaysia 2025-01-01
Schriftenreihe:International Islamic University Malaysia Engineering Journal
Schlagworte:
Rehabilitation Internet-of-Things (RIOT)
MediaPipe
Deep Learning (DL)
hand gesture recognition
Artificial Intelligence (AI)
Online Zugang:https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/3455

Online

https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/3455

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