A classifier based on multiple feature extraction blocks for gait authentication using smartphone sensors-Reference-Cited by-同舟云学术

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A classifier based on multiple feature extraction blocks for gait authentication using smartphone sensors

Published:2023-05 Issue: Volume:108 Page:108663
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Shen Shu^ORCID,Sun Shao-Shan,Li Wen-Juan,Wang Ru-Chuan,Sun Peng,Wang Sen,Geng Xin-Yu

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference25 articles.

1. Adversarial cross-spectral face completion for NIR-VIS face recognition;He;IEEE Trans Pattern Anal Mach Intell,2019

2. Iris recognition using local and global iris image moment features;Patil,2019

3. Deep trajectory based gait recognition for human re-identification;Sattrupai,2018

4. Robust CNN-based gait verification and identification using skeleton gait energy image;Yao,2018

5. A survey on gait recognition via wearable sensors;Marsico;ACM Comput Surv,2019

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1. Gait recognition using deep learning with handling defective data from multiple wearable sensors;Digital Signal Processing;2024-11

2. Gait-based Authentication in Smart Aging Care Systems;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06

3. Gait-based identification using wearable multimodal sensing and attention neural networks;Sensors and Actuators A: Physical;2024-08

4. HGANet-23: a novel architecture for human gait analysis based on deep neural network and improved satin bowerbird optimization;Signal, Image and Video Processing;2024-06-07

5. Gait Recognition Based on Two-Stream CNNs With Multisensor Progressive Feature Fusion;IEEE Sensors Journal;2024-04-15

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