Simulation framework for activity recognition and benchmarking in different radar geometries

B Zhou, Y Lin, J Le Kernec, S Yang… - IET Radar, Sonar & …, 2021 - Wiley Online Library
Radar micro‐Doppler signatures have been proposed for human monitoring and activity
classification for surveillance and outdoor security, as well as for ambient assisted living in …

Features for micro‐Doppler based activity classification

S Björklund, H Petersson… - IET radar, sonar & …, 2015 - Wiley Online Library
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 …

Activity recognition with cooperative radar systems at C and K band

A Shrestha, H Li, F Fioranelli… - The Journal of …, 2019 - Wiley Online Library
Remote health monitoring is a key component in the future of healthcare with predictive and
fall risk estimation applications required in great need and with urgency. Radar, through the …

Bistatic human micro-Doppler signatures for classification of indoor activities

F Fioranelli, M Ritchie, H Griffiths - 2017 IEEE Radar …, 2017 - ieeexplore.ieee.org
This paper presents the analysis of human micro-Doppler signatures collected by a bistatic
radar system to classify different indoor activities. Tools for automatic classification of …

Multi-aspect angle classification of human radar signatures

C Karabacak, SZ Gürbüz… - Active and Passive …, 2013 - spiedigitallibrary.org
The human micro-Doppler signature is a unique signature caused by the time-varying
motion of each point on the human body, which can be used to discriminate humans from …

SimHumalator: An open-source end-to-end radar simulator for human activity recognition

S Vishwakarma, W Li, C Tang… - IEEE Aerospace and …, 2021 - ieeexplore.ieee.org
Radio-frequency-based noncooperative monitoring of humans has numerous applications
ranging from law enforcement to ubiquitous sensing applications such as ambient assisted …

On the generalization and reliability of single radar-based human activity recognition

A Gorji, A Bourdoux, H Sahli - IEEE Access, 2021 - ieeexplore.ieee.org
Identifying human activities using short-range and low-power radars has attracted much
attention among the researchers and consumer electronics industry. This paper considers …

Aspect angle dependence and multistatic data fusion for micro‐Doppler classification of armed/unarmed personnel

F Fioranelli, M Ritchie, H Griffiths - IET Radar, Sonar & …, 2015 - Wiley Online Library
This study discusses the analysis of multistatic micro‐Doppler signatures and related
features to distinguish and classify unarmed and potentially armed personnel. The …

Feature diversity for optimized human micro-Doppler classification using multistatic radar

F Fioranelli, M Ritchie, SZ Gürbüz… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper investigates the selection of different combinations of features at different
multistatic radar nodes, depending on scenario parameters, such as aspect angle to the …

Multistatic micro-Doppler radar for determining target orientation and activity classification

DP Fairchild, RM Narayanan - IEEE Transactions on Aerospace …, 2016 - ieeexplore.ieee.org
Micro-Doppler radar signals can be used to separate moving human targets from stationary
clutter and also to identify and classify human movements. Traditional micro-Doppler radar …