AIMC Topic: Gait Analysis
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ST-DeepGait: A Spatiotemporal Deep Learning Model for Human Gait Recognition.
Sensors (Basel, Switzerland)
Oct 21, 2022
Human gait analysis presents an opportunity to study complex spatiotemporal data transpiring as co-movement patterns of multiple moving objects (i.e., human joints). Such patterns are acknowledged as movement signatures specific to an individual, off...
Concurrent validity of artificial intelligence-based markerless motion capture for over-ground gait analysis: A study of spatiotemporal parameters.
Journal of biomechanics
Aug 30, 2022
Gait analysis is used in research and clinical environments; yet several limitations exist in current methodologies. Markerless systems, utilizing high-speed video and artificial intelligence, eliminate most limitations encountered in marker-, depth-...
SANE (Easy Gait Analysis System): Towards an AI-Assisted Automatic Gait-Analysis.
International journal of environmental research and public health
Aug 14, 2022
The gait cycle of humans may be influenced by a range of variables, including neurological, orthopedic, and pathological conditions. Thus, gait analysis has a broad variety of applications, including the diagnosis of neurological disorders, the study...
A Vision-Based System for Stage Classification of Parkinsonian Gait Using Machine Learning and Synthetic Data.
Sensors (Basel, Switzerland)
Jun 13, 2022
Parkinson's disease is characterized by abnormal gait, which worsens as the condition progresses. Although several methods have been able to classify this feature through pose-estimation algorithms and machine-learning classifiers, few studies have b...
Study on the correlation between early three-dimensional gait analysis and clinical efficacy after robot-assisted total knee arthroplasty.
Chinese journal of traumatology = Zhonghua chuang shang za zhi
May 27, 2022
PURPOSE: Robot-assisted technology is a forefront of surgical innovation that improves the accuracy of total knee arthroplasty (TKA). But whether the accuracy of surgery can improve the clinical efficacy still needs further research. The purpose of t...
Generalizability of deep learning models for predicting outdoor irregular walking surfaces.
Journal of biomechanics
May 26, 2022
Observations from laboratory-based gait analysis are difficult to extrapolate to real-world environments where gait behavior is modulated in response to complex environmental conditions and surface profiles. Inertial measurement units (IMUs) permit r...
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work.
Artificial intelligence in medicine
May 7, 2022
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 applications in clinical diagnosis, rehabilitation methods, gait biometrics, ...
Assessment of a novel deep learning-based marker-less motion capture system for gait study.
Gait & posture
Mar 15, 2022
BACKGROUND: Marker-less systems based on digital video cameras and deep learning for gait analysis could have a deep impact in clinical routine. A recently developed system has shown promising results in terms of joint center position but has not bee...
Explaining the differences of gait patterns between high and low-mileage runners with machine learning.
Scientific reports
Feb 22, 2022
Running gait patterns have implications for revealing the causes of injuries between higher-mileage runners and low-mileage runners. However, there is limited research on the possible relationships between running gait patterns and weekly running mil...
A Deep Learning Approach for Foot Trajectory Estimation in Gait Analysis Using Inertial Sensors.
Sensors (Basel, Switzerland)
Nov 12, 2021
Gait performance is an important marker of motor and cognitive decline in older adults. An instrumented gait analysis resorting to inertial sensors allows the complete evaluation of spatiotemporal gait parameters, offering an alternative to laborator...
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