Classification of human activity using radar and video multimodal learning

RJ de Jong, JJM de Wit, F Uysal - IET Radar, Sonar & …, 2021 - Wiley Online Library
In the defence and security domain, camera systems are widely used for surveillance. The
major advantage of using camera systems for surveillance is that they provide high …

Radar and video multimodal learning for human activity classification

RJ de Jong, MJC Heiligers… - 2019 International …, 2019 - ieeexplore.ieee.org
Camera systems are widely used for surveillance in the security and defense domains. The
main advantages of camera systems are their high resolution, their ease of use, and the fact …

Multimodal deep learning for the classification of human activity: Radar and video data fusion for the classification of human activity

R de Jong - 2019 - repository.tudelft.nl
Persistent surveillance is an urgent proficiency. For security, surveillance cameras are a
strong asset as they support the automatic tracking of people and are directly interpretable …

[HTML][HTML] Improving radar human activity classification using synthetic data with image transformation

R Hernangómez, T Visentin, L Servadei… - Sensors, 2022 - mdpi.com
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 …

Radar-Based Continuous Human Activity Recognition with Multi-Label Classification

I Ullmann, RG Guendel, NC Kruse… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
This paper presents a novel approach to radar-based human activity recognition in
continuous data streams. To date, most work in this research area has aimed at either …

Radar-based human activities classification with complex-valued neural networks

X Yang, RG Guendel, A Yarovoy… - 2022 IEEE Radar …, 2022 - ieeexplore.ieee.org
Human activities classification in assisted living is one of the emerging applications of radar.
The conventional analysis considers micro-Doppler signatures as the chosen input for …

Multi-domains based human activity classification in radar

Z Li, F Fioranelli, S Yang, L Zhang… - … Conference (IET IRC …, 2020 - ieeexplore.ieee.org
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 …

Action recognition using indoor radar systems

S Yang, J Le Kernec, F Fioranelli - 2019 - eprints.gla.ac.uk
Activities of Daily Living (ADL) is essential part of elderly care not only in the event of
detecting fall, but also for evaluating the pattern of life of an individual, such as food intake …

[HTML][HTML] Hierarchical radar data analysis for activity and personnel recognition

X Li, Z Li, F Fioranelli, S Yang, O Romain, JL Kernec - Remote Sensing, 2020 - mdpi.com
Radar-based classification of human activities and gait have attracted significant attention
with a large number of approaches proposed in terms of features and classification …

Classification of human activities based on automotive radar spectral images using machine learning techniques: a case study

L Senigagliesi, G Ciattaglia, D Disha… - 2022 IEEE radar …, 2022 - ieeexplore.ieee.org
Target detection and classification is a very important topic in automotive environments, in
order to effectively support the automatic driving systems. However, well known …