GIÁM SÁT QUÁ TRÌNH TẬP LUYỆN PHỤC HỒI CHỨC NĂNG THÔNG QUA NHẬN DẠNG DẤU HIỆU NGUY CƠ BẤT THƯỜNG TRÊN KHUÔN MẶT

Authors

  • QUOC CUONG LE BAN QUẢN LÝ KHU CÔNG NGHỆ CAO TP. HCM

Keywords:

SVM, KNN, Facial Landmark Detection

Abstract

This article proposes a method to monitor patients or the elderly during rehabilitation exercises, to minimize risks of abnormal signs such as sudden fatigue, overload, or signs of some stroke diseases, and so on. This method will identify the initial image from the process of using exercise equipment to continuously monitor abnormal changes on 68 basic points on the face, the "virtual assistant" will accompany and interact, support throughout the exercise and quickly connect to relatives if if any unusual problems occur to the user.

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Published

2025-09-18