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Calibrating hand gesture recognition for stroke Rehabilitation Internet-of-Things (RIOT) using MediaPipe in smart healthcare systems

Stroke rehabilitation is fraught with challenges, particularly regarding patient mobility, imprecise assessment scoring during the therapy session, and the security of healthcare data shared online. This work aims to address these issues by calibrating hand gesture recognition systems using the Reha...

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Bibliographic Details
Main Authors: Zainuddin, Ahmad Anwar, Mohd Dhuzuki, Nurul Hanis, Ahmad Puzi, Asmarani, Johar, Mohd Naqiuddin, Yazid, Maslina
Format: Article
Language:English
Published: Science and Information (SAI) Organization 2024
Subjects:
T10.5 Communication of technical information
Online Access:http://irep.iium.edu.my/113578/1/113578_Calibrating%20hand%20gesture%20recognition.pdf
http://irep.iium.edu.my/113578/
https://thesai.org/Publications/ViewPaper?Volume=15&Issue=7&Code=IJACSA&SerialNo=56
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Internet

http://irep.iium.edu.my/113578/1/113578_Calibrating%20hand%20gesture%20recognition.pdf
http://irep.iium.edu.my/113578/
https://thesai.org/Publications/ViewPaper?Volume=15&Issue=7&Code=IJACSA&SerialNo=56

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