Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition

Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition

Human capability to perform routine tasks declines with age and age-related problems. Remote human activity recognition (HAR) is beneficial for regular monitoring of the elderly population. This paper addresses the problem of the continuous detection of daily human activities using a mm-wave Doppler...

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Bibliographic Details
Main Authors: Ruchita Mehta, Sara Sharifzadeh, Vasile Palade, Bo Tan, Alireza Daneshkhah, Yordanka Karayaneva
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Machine Learning and Knowledge Extraction
Subjects:
human activity recognition (HAR)
dynamic time warping (DTW)
convolutional variational autoencoder (CVAE)
mm-wave radar sensor
deep neural networks (DNNs)
Online Access:https://www.mdpi.com/2504-4990/5/4/75

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https://www.mdpi.com/2504-4990/5/4/75

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