Open AccessAccelerometer-based elderly fall detection system using edge artificial intelligence architecture
Author(s) -
Osama Zaid Salah,
Sathish Kumar Selvaperumal,
Raed Abdullah
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i4.pp4430-4438
Subject(s) - computer science , microcontroller , edge computing , convolutional neural network , embedded system , accelerometer , edge device , deep learning , real time computing , wearable computer , enhanced data rates for gsm evolution , artificial neural network , artificial intelligence , operating system , cloud computing