In human activity recognition (HAR) based on radar, significant research exists on statistical features extracted from the spectrogram (μD), whereas the research which considers other …
K Papadopoulos, M Jelali - Applied Sciences, 2023 - mdpi.com
The importance of radar-based human activity recognition has increased significantly over the last two decades in safety and smart surveillance applications due to its superiority in …
Population ageing has become a severe problem worldwide. Human activity recognition (HAR) can play an important role to provide the elders with in-time healthcare. With the …
The accurate classification of activity patterns based on radar signatures is still an open problem and is a key to detect anomalous behavior for security and health applications. This …
M Jia, S Li, J Le Kernec, S Yang… - … conference on UK …, 2020 - ieeexplore.ieee.org
As the number of older adults increases worldwide, new paradigms for indoor activity monitoring are required to keep people living at home independently longer. Radar-based …
Radar sensors offer a promising and effective sensing modality for human activity classification. Human activity classification enables several smart homes applications for …
Machine Learning (ML) methods have become state of the art in radar signal processing, particularly for classification tasks (eg, of different human activities). Radar classification can …
J Zhu, X Lou, W Ye - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Radar-based human activity recognition (HAR) has great potential in many fields, such as surveillance, smart homes, and human-computer interaction. Complex deep neural …
S Zhu, J Xu, H Guo, Q Liu, S Wu… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Indoor human activity recognition has been extensively investigated. However, most of the solutions require sensors eg 9-axis IMU be equipped on human body or use image …