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A systematic approach to the design and characterization of a smart insole for detecting vertical ground reaction force (vGRF) in gait analysis
(
MDPI AG
, 2020 , Article)
Gait analysis is a systematic study of human locomotion, which can be utilized in various applications, such as rehabilitation, clinical diagnostics and sports activities. The various limitations such as cost, non-portability, ...
Micro-Doppler characteristics of elderly gait patterns with walking AIDS
(
SPIE
, 2015 , Conference Paper)
In this paper, we analyze the micro-Doppler signatures of elderly gait patterns in the presence of walking AIDS using radars. The signatures are based on real data experiments conducted in a laboratory environment using ...
Improved gait recognition based on gait energy images
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
The performance of gait recognition systems are usually affected by clothing, carrying conditions, and other intraclass variations which are also referred to as covariates. This paper proposes a supervised feature selection ...
Gait recognition for person re-identification
(
Springer
, 2021 , Article)
Person re-identification across multiple cameras is an essential task in computer vision applications, particularly tracking the same person in different scenes. Gait recognition, which is the recognition based on the ...
Unsupervised feature selection method for improved human gait recognition
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Gait recognition is an emerging biometric technology which aims to identify people purely through the analysis of the way they walk. The technology has attracted interest as a method of identification because it is ...
Human gait recognition with cane assistive device using quadratic time-frequency distributions
(
Institution of Engineering and Technology
, 2015 , Article)
In this study, the authors consider the problem of human gait recognition in the presence of a walking cane using radars. Quadratic time-frequency distributions are used to provide the local signal behaviour over frequency ...
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern
(
Springer Nature
, 2023 , Article)
Neurodegenerative diseases damage neuromuscular tissues and deteriorate motor neurons which affects the motor capacity of the patient. Particularly the walking gait is greatly influenced by the deterioration process. Early ...
Changes in movement organization and control strategies when learning a biomechanically constrained gait pattern, racewalking: a PCA study
(
Springer-Verlag
, 2016 , Article)
Combining advances from gait analysis and motor learning fields, this study aims to examine invariant characteristics and practice-related changes in the control of walking gait when learning a biomechanically constrained ...