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 …

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 …

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 …

Acousticid: gait-based human identification using acoustic signal

W Xu, ZW Yu, Z Wang, B Guo, Q Han - … of the ACM on Interactive, Mobile …, 2019 - dl.acm.org
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 …

SilentKey: A new authentication framework through ultrasonic-based lip reading

J Tan, X Wang, CT Nguyen, Y Shi - … of the ACM on Interactive, Mobile …, 2018 - dl.acm.org
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 …

Spectro-temporal modeling for human activity recognition using a radar sensor network

F Luo, E Bodanese, S Khan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Hierarchical radar data analysis for activity and personnel recognition

X Li, Z Li, F Fioranelli, S Yang, O Romain, JL Kernec - Remote Sensing, 2020 - mdpi.com
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 …

Temporal convolutional neural networks for radar micro-Doppler based gait recognition

P Addabbo, ML Bernardi, F Biondi, M Cimitile… - Sensors, 2021 - mdpi.com
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 …

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 …

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 …