AI-Powered Noncontact In-Home Gait Monitoring and Activity Recognition System Based on mm-Wave FMCW Radar and Cloud Computing

• Published in: IEEE internet of things journal Vol. 10; no. 11; pp. 9465 - 9481
• Main Authors: Abedi, Hajar, Ansariyan, Ahmad, Morita, Plinio P., Wong, Alexander, Boger, Jennifer, Shaker, George
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.06.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Activity recognition; Artificial neural networks; autonomous systems; Biomedical monitoring; Cloud computing; Deep learning; Gait; gait monitoring; Gait recognition; Internet of Things; Legged locomotion; Machine learning; Millimeter waves; mm-wave radar; Monitoring; Radar; Radar equipment; Radar signal processing; Real time; sequential deep learning; Signal processing; Signal processing algorithms; Washrooms

In this work, we present a cloud-based system for noncontact, real-time recognition, and monitoring of physical activities and walking periods within a domestic environment. The proposed system employs standalone Internet of Things (IoT)-based millimeter wave radar devices and deep learning models t...