Human gait recognition: A systematic review

V Rani, M Kumar - Multimedia Tools and Applications, 2023 - Springer
A biometric system is a technology that utilizes an individual's unique physiological and
behavioral characteristics to identify and authenticate them. It falls under the category of …

Effects of age, body height, body weight, body mass index and handgrip strength on the trajectory of the plantar pressure stance-phase curve of the gait cycle

C Wolff, P Steinheimer, E Warmerdam… - … in Bioengineering and …, 2023 - frontiersin.org
The analysis of gait patterns and plantar pressure distributions via insoles is increasingly
used to monitor patients and treatment progress, such as recovery after surgeries. Despite …

[HTML][HTML] Computer Vision-Based Gait Recognition on the Edge: A Survey on Feature Representations, Models, and Architectures

E Salcedo - Journal of Imaging, 2024 - mdpi.com
Computer vision-based gait recognition (CVGR) is a technology that has gained
considerable attention in recent years due to its non-invasive, unobtrusive, and difficult-to …

Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset

R Ranjan, D Ahmedt-Aristizabal, MA Armin… - arXiv preprint arXiv …, 2024 - arxiv.org
Clinical gait analysis (CGA) using computer vision is an emerging field in artificial
intelligence that faces barriers of accessible, real-world data, and clear task objectives. This …

Gait Recognition Algorithm of Coal Mine Personnel Based on LoRa

Y Yin, X Zhang, R Lan, X Sun, K Wang, T Ma - Applied Sciences, 2023 - mdpi.com
This study proposes a new approach to gait recognition using LoRa signals, taking into
account the challenging conditions found in underground coal mines, such as low …

[HTML][HTML] Deep Temporal Clustering of Pathological Gait Patterns in Post-Stroke Patients Using Joint Angle Trajectories: A Cross-Sectional Study

G Kim, H Kim, YH Kim, SJ Kim, MT Choi - Bioengineering, 2025 - mdpi.com
Rehabilitation of gait function in post-stroke hemiplegic patients is critical for improving
mobility and quality of life, requiring a comprehensive understanding of individual gait …

Leveraging machine learning for gait phase classification with varied training methods

A Mekni, J Narayan, H Gritli - 2024 IEEE 7th International …, 2024 - ieeexplore.ieee.org
Accurate gait phase recognition is crucial for real-time analysis and intervention in
rehabilitation, biomechanics, and prosthetics. However, achieving this is challenging due to …

Multi-class gait phase recognition using machine learning models with two training methods

A Mekni, J Narayan, H Gritli - 2024 15th International …, 2024 - ieeexplore.ieee.org
Walking is a fundamental human activity, yet understanding its intricacies is crucial for
diagnosing and treating various gait abnormalities and musculoskeletal disorders. This …

Supervised learning for improving the accuracy of robot-mounted 3D camera applied to human gait analysis

D Guffanti, A Brunete, M Hernando, D Álvarez, J Rueda… - Heliyon, 2024 - cell.com
Background and Objective: the use of 3D cameras for gait analysis has been highly
questioned due to the low accuracy they have demonstrated in the past. The objective of the …

Human gait analysis using hybrid convolutional neural networks

K Nguyen, VV Nguyen, NT Mai, AH Nguyen… - Journal of Computer …, 2023 - vjs.ac.vn
Human gait analysis is a promising method of researching on human activities like walking
or sitting. It reflects the habits of one person and can be observed in any activity that person …