Gait-CNN-ViT: Multi-model gait recognition with convolutional neural networks and vision transformer
Gait recognition, the task of identifying an individual based on their unique walking style, can
be difficult because walking styles can be influenced by external factors such as clothing …
be difficult because walking styles can be influenced by external factors such as clothing …
A fusion-assisted multi-stream deep learning and ESO-controlled newton–raphson-based feature selection approach for human gait recognition
F Jahangir, MA Khan, M Alhaisoni, A Alqahtani… - Sensors, 2023 - mdpi.com
The performance of human gait recognition (HGR) is affected by the partial obstruction of the
human body caused by the limited field of view in video surveillance. The traditional method …
human body caused by the limited field of view in video surveillance. The traditional method …
Exploring deep models for practical gait recognition
Gait recognition is a rapidly advancing vision technique for person identification from a
distance. Prior studies predominantly employed relatively shallow networks to extract subtle …
distance. Prior studies predominantly employed relatively shallow networks to extract subtle …
[PDF][PDF] Human Gait Recognition for Biometrics Application Based on Deep Learning Fusion Assisted Framework.
The demand for a non-contact biometric approach for candidate identification has grown
over the past ten years. Based on the most important biometric application, human gait …
over the past ten years. Based on the most important biometric application, human gait …
A Deep Learning Application of Capsule Endoscopic Gastric Structure Recognition Based on a Transformer Model
Q Li, W Xie, Y Wang, K Qin, M Huang… - Journal of Clinical …, 2024 - journals.lww.com
Background: Gastric structure recognition systems have become increasingly necessary for
the accurate diagnosis of gastric lesions in capsule endoscopy. Deep learning, especially …
the accurate diagnosis of gastric lesions in capsule endoscopy. Deep learning, especially …
HorGait: A Hybrid Model for Accurate Gait Recognition in LiDAR Point Cloud Planar Projections
J Hao, Y Wang, Z Chang, H Gao, Z Cheng… - arXiv preprint arXiv …, 2024 - arxiv.org
Gait recognition is a remote biometric technology that utilizes the dynamic characteristics of
human movement to identify individuals even under various extreme lighting conditions …
human movement to identify individuals even under various extreme lighting conditions …
Gait recognition with global–local feature fusion based on swin transformer-3DCNN
T Wang, G Zhou, Y Pu, R Moreno, G Yang - Signal, Image and Video …, 2025 - Springer
Gait recognition is a biometric technology that can be used for identification over long
distances and has great application prospects in the field of public security. Currently, the …
distances and has great application prospects in the field of public security. Currently, the …
Dense & Attention Convolutional Neural Networks for Toe Walking Recognition
Idiopathic toe walking (ITW) is a gait disorder where children's initial contacts show limited or
no heel touch during the gait cycle. Toe walking can lead to poor balance, increased risk of …
no heel touch during the gait cycle. Toe walking can lead to poor balance, increased risk of …
[PDF][PDF] Advanced Age Group Estimation Using Gait Analysis: A Novel Multi-Energy Image and Invariant Moments Method.
N Al Musalhi, E Celebi - Traitement du Signal, 2024 - researchgate.net
The precise estimation of age is pivotal in identity verification across critical security
checkpoints, including seaports, land borders, and airports. This study introduces an …
checkpoints, including seaports, land borders, and airports. This study introduces an …
A novel approach to identify the fingerprint of stroke gait using deep unsupervised learning
Background: The gait pattern results from a complex interaction of several body parts,
orchestrated by the (central) nervous system that controls the active and passive systems of …
orchestrated by the (central) nervous system that controls the active and passive systems of …