A Paradigm Shift from an Experimental-Based to a Simulation-Based Framework Using Motion-Capture Driven MIMO Radar Data Synthesis

S Waqar, M Muaaz, S Sigg, M Pätzold - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
The development of radar-based classifiers driven by empirical data can be highly
demanding and expensive due to the unavailability of radar data. In this article, we introduce …

Direction-independent human activity recognition using a distributed MIMO radar system and deep learning

S Waqar, M Muaaz, M Pätzold - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Modern monostatic radar-based human activity recognition (HAR) systems perform very well
as long as the direction of human activities is either toward or away from the radar. The …

A simulation-based framework for the design of human activity recognition systems using radar sensors

S Waqar, M Pätzold - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Modern human activity recognition (HAR) systems are designed using large amounts of
experimental data. So far, real-data-driven or experimental-based HAR systems using Wi-Fi …

Human activity signatures captured under different directions using SISO and MIMO radar systems

S Waqar, M Muaaz, M Pätzold - Applied Sciences, 2022 - mdpi.com
In this paper, we highlight and resolve the shortcomings of single-input single-output (SISO)
millimeter wave (mm-Wave) radar systems for human activity recognition (HAR). A 2× 2 …

A State-Machine-Based Approach for Human Activity Classification Using MIMO Radar

N Honma, D Sasakawa, N Shiraki… - … on Antennas and …, 2021 - ieeexplore.ieee.org
This paper proposes a state-machine-based human activity recognition method for an
indoor monitoring multiple-input multiple-output (MIMO) radar. Our method uses the …

Radar-based human activity recognition with range-distributed time–doppler sparse point cloud and multi-channel pointnet

B Wang, C Ding, H Chen, H Hong… - 2023 53rd European …, 2023 - ieeexplore.ieee.org
Recent radar-based human activity recognition (HAR) researches focus on time-Doppler
images in one particular range bin. However, image-based methods suffer from low …

4D radar simulator for human activity recognition

J Zhou, J Le Kernec - IET Radar, Sonar & Navigation, 2024 - Wiley Online Library
Millimetre‐wave radar has been widely used in health monitoring and human activity
recognition owing to its improved range resolution and operation in a variety of …

Tangential Human Motion Recognition with Micro-Doppler Signatures and One-shot Learning

Y Yang, Z Zhou, B Li, J Li, Y Lang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The moving direction affects the radar micro-Doppler signatures induced by human
movement, with the least being attained when the human moves tangentially with regard to …

RadarSpecAugment: A simple data augmentation method for radar-based human activity recognition

D She, X Lou, W Ye - IEEE Sensors Letters, 2021 - ieeexplore.ieee.org
In this letter, a simple data augmentation method for micro-Doppler radar-based human
activity recognition (HAR) is proposed. The proposed augmentation method can improve the …

Radar‐based human activity recognition using denoising techniques to enhance classification accuracy

R Yu, Y Du, J Li, A Napolitano… - IET Radar, Sonar & …, 2024 - Wiley Online Library
Radar‐based human activity recognition is considered as a competitive solution for the
elderly care health monitoring problem, compared to alternative techniques such as …