Gait analysis advancements: rehabilitation value and new perspectives from forensic application

M Mangone, E Marinelli, G Santilli… - European Review for …, 2023 - iris.uniroma1.it
The clinical and rehabilitation value of gait analysis is remarkable and indisputable and
poised to grow as technological advancements unfold. This article aims to shed light on the …

Automated gait analysis based on a marker-free pose estimation model

CST Hii, KB Gan, N Zainal, N Mohamed Ibrahim… - Sensors, 2023 - mdpi.com
Gait analysis is an essential tool for detecting biomechanical irregularities, designing
personalized rehabilitation plans, and enhancing athletic performance. Currently, gait …

Extensible motion-based identification of xr users using non-specific motion data

C Rack, K Kobs, T Fernando, A Hotho… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we combine the strengths of distance-based and classification-based
approaches for the task of identifying extended reality users by their movements. For this we …

Anomalous gait feature classification from 3-D motion capture data

S Jeon, KM Lee, S Koo - IEEE Journal of Biomedical and …, 2021 - ieeexplore.ieee.org
The gait kinematics of an individual is affected by various factors, including age,
anthropometry, gender, and disease. Detecting anomalous gait features aids in the …

[HTML][HTML] Forensic gait analysis

A Badiye, P Kathane, K Krishan - 2020 - europepmc.org
Gait analysis is known as' the systematic study of human locomotion.'Forensic gait analysis
or forensic gait comparison is defined as' the assessment and evaluation of the gait patterns …

Machine learning techniques demonstrating individual movement patterns of the vertebral column: The fingerprint of spinal motion

C Dindorf, J Konradi, C Wolf, B Taetz… - Computer Methods in …, 2022 - Taylor & Francis
Surface topography systems enable the capture of spinal dynamic movement; however, it is
unclear whether vertebral dynamics are unique enough to identify individuals. Therefore, in …

Multi-scale confusion and filling mechanism for pressure footprint recognition

Y Zhang, Y Sun, N Wang, Z Gao, J Zhu… - Neural Computing and …, 2023 - Springer
Footprint data have large intra-class variances and small inter-class variances; therefore, the
key to the footprint recognition problem is to mine and learn the discriminative local details in …

Optical footprint image recognition algorithm based on metric learning and SVM

W Bao, Y Wang, N Wang, J Tang - … International Conference on …, 2020 - ieeexplore.ieee.org
Footprint recognition plays an important role in criminal investigation, security protection and
other fields. In terms of the key problems of feature extraction and classification, a footprint …

BFNet: A Lightweight Barefootprint Recognition Network

Y Yang, Y Tang, J Cui, X Zhao - Chinese Conference on Biometric …, 2023 - Springer
In recent years, barefootprint-based biometrics has emerged as a novel research area.
Compared with other biometrics, barefootprints are more covert and secure. However, due …

[PDF][PDF] Footprint biometric authentication using SqueezeNet

SI Safie, R Ramli - Indonesian Journal of Electrical Engineering and …, 2023 - academia.edu
Biometric authentication is a process of identity verification once an identity is claimed by an
individual. It uses unique features on the human body. Footprints are a new biometric …