Radar signal recognition based on micro-Doppler spectrogram has been widely used in
human action recognition tasks. However, in practical application scenarios, radar signals …

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 …

Radio frequency interference, which makes it difficult to produce high-quality radar
spectrograms, is a major issue for micro-Doppler-based human activity recognition (HAR). In …

Sažetak Developing accurate classification models for radar-based Human Activity
Recognition (HAR), capable of solving real-world problems, depends heavily on the amount …

Radar‐based human activity recognition is considered as a competitive solution for the
elderly care health monitoring problem, compared to alternative techniques such as …

The automatic detection and recognition of human activities are valuable for physical
security, gaming, and intelligent interface. Compared to an optical recognition system, radar …

Radar-based human activity recognition has been of great interest due to its capability to
resolve problems of the security and health system. Deep learning-based methods are …

In this paper, we propose the multiwindow Adaptive S-method (AS-method) distribution
approach used in the time-frequency analysis for radar signals. Based on the results of …

Nowadays, classifying human activities is applied in many essential fields, such as
healthcare, security monitoring, and search and rescue missions. Radar sensor-based …

Micro-Doppler signatures (μ-DS) play a crucial role in activity classification using radar.
However, conventional methods for μ-DS generation, such as the Short-Time Fourier …