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 …

A virtual, 3D multimodal approach to victim and crime scene reconstruction

C Villa, N Lynnerup, C Jacobsen - Diagnostics, 2023 - mdpi.com
In the last two decades, forensic pathology and crime scene investigations have seen a
rapid increase in examination tools due to the implementation of several imaging …

Prediction of myoelectric biomarkers in post-stroke gait

I Hussain, SJ Park - Sensors, 2021 - mdpi.com
Electromyography (EMG) is sensitive to neuromuscular changes resulting from ischemic
stroke and is considered a potential predictive tool of post-stroke gait and rehabilitation …

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 …

Surface electromyography applied to gait analysis: How to improve its impact in clinics?

V Agostini, M Ghislieri, S Rosati, G Balestra… - Frontiers in …, 2020 - frontiersin.org
Surface electromyography (sEMG) is the main non-invasive tool used to record the electrical
activity of muscles during dynamic tasks. In clinical gait analysis, a number of techniques …

Interpreting stroke-impaired electromyography patterns through explainable artificial intelligence

I Hussain, R Jany - Sensors, 2024 - mdpi.com
Electromyography (EMG) proves invaluable myoelectric manifestation in identifying
neuromuscular alterations resulting from ischemic strokes, serving as a potential marker for …

Resgait: The real-scene gait dataset

Z Mu, FM Castro, MJ Marin-Jimenez… - … Joint Conference on …, 2021 - ieeexplore.ieee.org
Many studies have shown that gait recognition can be used to identify humans at a long
distance, with promising results on current datasets. However, those datasets are collected …

Sensitivity to gait improvement after levodopa intake in Parkinson's disease: A comparison study among synthetic kinematic indices

E Troisi Lopez, R Minino, P Sorrentino, V Manzo… - Plos one, 2022 - journals.plos.org
The synthetic indices are widely used to describe balance and stability during gait. Some of
these are employed to describe the gait features in Parkinson's disease (PD). However, the …

[HTML][HTML] Interpol review of forensic video analysis, 2019–2022

Z Geradts, Q Riphagen - Forensic Science International: Synergy, 2023 - Elsevier
The review focuses mostly on English literature, and which was available from public data
sources from 2018 to 2022. Also we had to make a selection, since searches on video …

Utilizing spatio temporal gait pattern and quadratic SVM for gait recognition

H Masood, H Farooq - Electronics, 2022 - mdpi.com
This study aimed to develop a vision-based gait recognition system for person identification.
Gait is the soft biometric trait recognizable from low-resolution surveillance videos, where …