Human gait provides a way of locomotion by combined efforts of the brain, nerves, and muscles. Conventionally, the human gait has been considered subjectively through visual …
R Best, R Begg - … for movement sciences: neural networks and other …, 2006 - igi-global.com
This chapter provides an overview of the commonly used motion analysis approaches and techniques and the key features that are extracted from movement patterns for …
This research addresses the question of the existence of prominent diagnostic signatures for human walking extracted from kinematics gait data. The proposed method is based on …
J Slemenšek, I Fister, J Geršak, B Bratina… - Sensors, 2023 - mdpi.com
Human gait activity recognition is an emerging field of motion analysis that can be applied in various application domains. One of the most attractive applications includes monitoring of …
Background automatic recognition of human movement is an effective strategy to assess abnormal gait patterns. Machine learning approaches are mainly applied due to their ability …
S Chen, J Lach, B Lo, GZ Yang - IEEE journal of biomedical …, 2016 - ieeexplore.ieee.org
After decades of evolution, measuring instruments for quantitative gait analysis have become an important clinical tool for assessing pathologies manifested by gait …
Human gait is a periodic motion of body segments—the analysis of motion and related studies is termed gait analysis. Gait Analysis has gained much popularity because of its …
Approximately one-third of people who recover from a stroke require some form of assistance to walk. Repetitive task-oriented rehabilitation interventions have been shown to …
V Agostini, G Balestra, M Knaflitz - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Gait abnormalities can be studied by means of instrumented gait analysis. Foot-switches are useful to study the foot-floor contact and for timing the gait phases in many gait disorders …