… data quality and improve classification model accuracy. In this study, two different human
activity classification models incorporated with pre-processing techniques have been proposed…

… This pressure is put on the healthcare system which leads to an increase in interest in …
and radars become a focus of attention as new classification models and fusion methods are …

… n, m) as preprocessing methods for preliminary noise reduction before … To better illustrate
the theories and properties, we take … Ling, “Human activity classification based on MDS using a …

… for radar-based human activities classification and their … research in radar-based human
activity recognition is mainly … to first denoise the signal before reconstructing it using Daubechy’s …

… major components: denosing, enhanced voxelization, data … can be directly applied to classify
the human activity. However, … , including voxelization and denoising, are required in our …

… points is utilized to transform the denoised radar signals into 2-D … method can achieve a
better balance between recognition … learning based human activity classification in radar micro-…

… In order to improve the accuracy of human action recognition with noisy radar signals, this
… Human activity classification with radar: Optimization and noise robustness with iterative …

… , the radar signal processing strategies, and the classification … It was shown that this approach
yielded a better classification … The first processing step is to denoise the point clouds by …

… A reason for this can indeed be found in the denoising behavior of the ITNs, which not only
… in the training, we have found an increase in classification accuracy by up to 20%. Still, the …

… features and to improve the classification performance. They … is set on the spectrogram for
noise reduction. In the part of … “Radar micro-Doppler based human activity classification for …