Results 21 to 30 of about 22,284,482 (173)
Italian National Conference on Sensors, 2020 The aim of this review is to summarize that most relevant technologies used to evaluate gait features and the associated algorithms that have shown promise to aid diagnosis and symptom monitoring in Parkinson’s disease (PD) patients.
L. D. Biase +6 more
semanticscholar +1 more source
A Novel Tool for Gait Analysis: Validation Study of the Smart Insole PODOSmart®
Italian National Conference on Sensors, 2021 The new smart insole PODOSmart®, is introduced as a new tool for gait analysis against high cost laboratory based equipment. PODOSmart® system measures walking profile and gait variables in real life conditions.
Efthymios Ziagkas +5 more
semanticscholar +1 more source
Italian National Conference on Sensors, 2020 Gait analysis is a systematic study of human locomotion, which can be utilized in various applications, such as rehabilitation, clinical diagnostics and sports activities.
A. Tahir +7 more
semanticscholar +1 more source
IEEE Access, 2020 Gait is the locomotion attained through the movement of limbs and gait analysis examines the patterns (normal/abnormal) depending on the gait cycle. It contributes to the development of various applications in the medical, security, sports, and fitness ...
A. Saboor +7 more
semanticscholar +1 more source
Human Gait Analysis using Gait Energy Image [PDF]
arXiv, 2022 Gait recognition is one of the most recent emerging techniques of human biometric which can be used for security based purposes having unobtrusive learning method. In comparison with other bio-metrics gait analysis has some special security features.
arxiv
Archives of Physical Medicine and Rehabilitation, 1994 Observational gait analysis is clinically useful with videotape slow-motion replay and freeze-frame, offering significant improvement over unaided visual observation. Any form of observational gait analysis, however, has limited precision and is more descriptive than quantitative.
Gerald F. Harris, Jacqueline J. Wertsch
openaire +3 more sources
Validation of an IMU Gait Analysis Algorithm for Gait Monitoring in Daily Life Situations
Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2020 Gait is an essential function for humans, and gait patterns in daily life provide meaningful information about a person’s cognitive and physical health conditions.
Lin Zhou +6 more
semanticscholar +1 more source
Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries [PDF]
arXiv, 2023 This study explored the potential of gait analysis as a tool for assessing post-injury complications, e.g., infection, malunion, or hardware irritation, in patients with lower extremity fractures. The research focused on the proficiency of supervised machine learning models predicting complications using consecutive gait datasets.
arxiv
Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking -- Technical Affordances and used Methods [PDF]
arXiv, 2020 To improve the understanding of human gait and to facilitate novel developments in gait rehabilitation, the neural correlates of human gait as measured by means of non-invasive electroencephalography (EEG) have been investigated recently. Particularly, gait-related event-related brain potentials (gERPs) may provide information about the functional role
arxiv
Transforming Gait: Video-Based Spatiotemporal Gait Analysis
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022 Human pose estimation from monocular video is a rapidly advancing field that offers great promise to human movement science and rehabilitation. This potential is tempered by the smaller body of work ensuring the outputs are clinically meaningful and properly calibrated.
Cotton, R. James +4 more
openaire +3 more sources