Review of micro‐Doppler signatures
D Tahmoush - IET Radar, Sonar & Navigation, 2015 - Wiley Online Library
Micro‐Doppler signals refer to Doppler scattering returns produced by the motions of the
target other than gross translation. The small micro‐motions of a subject, and even just parts …
target other than gross translation. The small micro‐motions of a subject, and even just parts …
Developments in target micro-Doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar
C Clemente, A Balleri, K Woodbridge… - EURASIP Journal on …, 2013 - Springer
Target motions, other than the main bulk translation of the target, induce Doppler
modulations around the main Doppler shift that form what is commonly called a target micro …
modulations around the main Doppler shift that form what is commonly called a target micro …
Indoor person identification using a low-power FMCW radar
B Vandersmissen, N Knudde… - … on Geoscience and …, 2018 - ieeexplore.ieee.org
Contemporary surveillance systems mainly use video cameras as their primary sensor.
However, video cameras possess fundamental deficiencies, such as the inability to handle …
However, video cameras possess fundamental deficiencies, such as the inability to handle …
Acousticid: gait-based human identification using acoustic signal
Human identification plays an important role in our daily lives. Previous studies have
successfully used characteristics such as fingerprints, irises, and facial features for identity …
successfully used characteristics such as fingerprints, irises, and facial features for identity …
SilentKey: A new authentication framework through ultrasonic-based lip reading
This paper presents SilentKey, a new authentication framework to identify mobile device
users through ultrasonic-based lip reading. The main idea is to generate ultrasonic signals …
users through ultrasonic-based lip reading. The main idea is to generate ultrasonic signals …
Spectro-temporal modeling for human activity recognition using a radar sensor network
Radar-based human activity recognition is attracting a wide range of interest from both
industry and academia because of its through-wall ability, privacy-preserving capability, and …
industry and academia because of its through-wall ability, privacy-preserving capability, and …
Hierarchical radar data analysis for activity and personnel recognition
Radar-based classification of human activities and gait have attracted significant attention
with a large number of approaches proposed in terms of features and classification …
with a large number of approaches proposed in terms of features and classification …
Temporal convolutional neural networks for radar micro-Doppler based gait recognition
The capability of sensors to identify individuals in a specific scenario is a topic of high
relevance for sensitive sectors such as public security. A traditional approach involves …
relevance for sensitive sectors such as public security. A traditional approach involves …
Gait-based human identification using acoustic sensor and deep neural network
Y Wang, Y Chen, MZA Bhuiyan, Y Han, S Zhao… - Future Generation …, 2018 - Elsevier
This paper proposes a simple, fast and low-cost gait-based human identification system
jointly employing an acoustic sensor system and a deep neural network (DNN) based …
jointly employing an acoustic sensor system and a deep neural network (DNN) based …
Gait recognition using FMCW radar and temporal convolutional deep neural networks
P Addabbo, ML Bernardi, F Biondi… - 2020 IEEE 7th …, 2020 - ieeexplore.ieee.org
The capability of human identification in specific scenarios and in a quickly and accurately
manner, is a critical aspect in various surveillance applications. In particular, in this context …
manner, is a critical aspect in various surveillance applications. In particular, in this context …