We present a novel radar-based indoor human gross motor activity classifier, which employs
L1-norm linear discriminant analysis (L1-LDA) to identify low-rank subspaces whereon …

We present a novel radar-based indoor human motion classifier, which employs L1-norm
Linear Discriminant Analysis (L1-LDA) to identify low-rank subspaces whereon Doppler …

In this paper, we propose a radar-based human motion classification technique for indoor
monitoring of patients and elderly. The proposed method employs L1-norm Principal …

We propose a method for radar-based human activity classification by a neural network
taking both micro-Doppler and range signatures of the target as input. Temporally localized …

Radar-based activity recognition is a problem that has been of great interest due to
applications such as border control and security, pedestrian identification for automotive …

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

Identifying human activities using short-range and low-power radars has attracted much
attention among the researchers and consumer electronics industry. This paper considers …

Building on previous radar‐based human activity recognition (HAR), we expand the micro‐
Doppler signature to 6 domains and exploit each domain with a set of handcrafted features …

We perform classification of Activities of Daily Living (ADL) using a Frequency-Modulated
Continuous Waveform (FMCW) radar. In particular, we consider contiguous motions that are …

Safety and security applications benefit from better situational awareness. Radar micro‐
Doppler signatures from an observed target carry information about the target's activity, and …