Multimodal adaptive identity-recognition algorithm fused with gait perception

C Wang, Z Li, B Sarpong - Big Data Mining and Analytics, 2021 - ieeexplore.ieee.org
Identity-recognition technologies require assistive equipment, whereas they are poor in
recognition accuracy and expensive. To overcome this deficiency, this paper proposes …

[PDF][PDF] A lightweight double-channel depthwise separable convolutional neural network for multimodal fusion gait recognition

X Liu, M Chen, T Liang, C Lou, H Wang… - Math. Biosci …, 2022 - pdfs.semanticscholar.org
Gait recognition is an emerging biometric technology that can be used to protect the privacy
of wearable device owners. To improve the performance of the existing gait recognition …

A multi-stage adaptive feature fusion neural network for multimodal gait recognition

S Zou, J Xiong, C Fan, C Shen, S Yu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Gait recognition is a biometric technology that has received extensive attention. Most
existing gait recognition algorithms are unimodal, and a few multimodal gait recognition …

Gait feature extraction and gait classification using two-branch CNN

X Wang, J Zhang - Multimedia Tools and Applications, 2020 - Springer
As a promising biometric identification method, gait recognition has many advantages, such
as suitable for human identification at a long distance, requiring no contact and hard to …

Robust gait recognition based on deep cnns with camera and radar sensor fusion

Y Shi, L Du, X Chen, X Liao, Z Yu, Z Li… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In recent years, gait recognition has emerged as an important and promising solution for
human identification. Generally, gait recognition is based on a single type of sensor, such as …

GaitAMR: Cross-view gait recognition via aggregated multi-feature representation

J Chen, Z Wang, C Zheng, K Zeng, Q Zou, L Cui - Information Sciences, 2023 - Elsevier
Gait recognition is an emerging long-distance biometric technology applied in many fields,
including video surveillance. The most recent gait recognition methods treat human …

Learning efficient spatial-temporal gait features with deep learning for human identification

W Liu, C Zhang, H Ma, S Li - Neuroinformatics, 2018 - Springer
The integration of the latest breakthroughs in bioinformatics technology from one side and
artificial intelligence from another side, enables remarkable advances in the fields of …

SpiderNet: A spiderweb graph neural network for multi-view gait recognition

A Zhao, J Li, M Ahmed - Knowledge-Based Systems, 2020 - Elsevier
Human gait is a proven biometric trait with applications in security for authentication and
disease diagnosis. However, it is one-sided to express and interpret gait data from a single …

Multi‐perspective gait recognition based on classifier fusion

X Wang, S Feng - IET Image Processing, 2019 - Wiley Online Library
Gait recognition has been well known as a promising biometric, which is non‐offensive and
can identify a person from a distance. In this study, a novel ensemble learning framework for …

Deep mutual learning network for gait recognition

Y Wang, Z Chen, QMJ Wu, X Rong - Multimedia Tools and Applications, 2020 - Springer
Human identification plays a significant role in ensuring social security. However, face-
based and appearance-based retrieval methods are not effective in monitoring due to the …