Results 41 to 50 of about 22,284,482 (173)
Gait analysis with wearables predicts conversion to Parkinson disease
Quantification of gait with wearable technology is promising; recent cross‐sectional studies showed that gait characteristics are potential prodromal markers for Parkinson disease (PD).
S. Del Din+11 more
semanticscholar +1 more source
Toward an Expressive Bipedal Robot: Variable Gait Synthesis and Validation in a Planar Model [PDF]
Humans are efficient, yet expressive in their motion. Human walking behaviors can be used to walk across a great variety of surfaces without falling and to communicate internal state to other humans through variable gait styles. This provides inspiration for creating similarly expressive bipedal robots.
arxiv +1 more source
Gait is usually assessed by clinical tests, which may have poor accuracy and be biased, or instrumented systems, which potentially solve these limitations at the cost of being time-consuming and expensive.
J. Latorre+3 more
semanticscholar +1 more source
Explaining Machine Learning Models for Clinical Gait Analysis [PDF]
Machine Learning (ML) is increasingly used to support decision-making in the healthcare sector. While ML approaches provide promising results with regard to their classification performance, most share a central limitation, their black-box character ...
D. Slijepčević+9 more
semanticscholar +1 more source
A wearable Gait Assessment Method for Lumbar Disc Herniation Based on Adaptive Kalman Filtering [PDF]
Lumbar disc herniation (LDH) is a prevalent orthopedic condition in clinical practice. Inertial measurement unit sensors (IMUs) are an effective tool for monitoring and assessing gait impairment in patients with lumbar disc herniation (LDH). However, the current gait assessment of LDH focuses solely on single-source acceleration signal data, without ...
arxiv
Balzac and human gait analysis
People have been interested in movement analysis in general, and gait analysis in particular, since ancient times. Aristotle, Hippocrates, Galen, Leonardo da Vinci and Honoré de Balzac all used observation to analyse the gait of human beings. The purpose of this study is to compare Honoré de Balzac's writings with a scientific analysis of human gait ...
S. Collado-Vázquez, J.M. Carrillo
openaire +4 more sources
Inertial sensors versus standard systems in gait analysis: a systematic review and meta-analysis.
INTRODUCTION The increasing popularity of inertial sensors in clinical practice is not supported by precise information on their reliability or guidelines for their use in rehabilitation.
F. Petraglia+5 more
semanticscholar +1 more source
Associated Spatio-Temporal Capsule Network for Gait Recognition [PDF]
It is a challenging task to identify a person based on her/his gait patterns. State-of-the-art approaches rely on the analysis of temporal or spatial characteristics of gait, and gait recognition is usually performed on single modality data (such as images, skeleton joint coordinates, or force signals). Evidence has shown that using multi-modality data
arxiv
Gait Assessment for Multiple Sclerosis Patients Using Microsoft Kinect [PDF]
Gait analysis of patients with neurological disorders, including multiple sclerosis (MS), is important for rehabilitation and treatment. The Mircrosoft Kinect sensor, which was developed for motion recognition in gaming applications, is an ideal candidate for an inexpensive system providing the capability for human gait analysis.
arxiv
2D Markerless Gait Analysis [PDF]
We present a 2D gait analysis system which is completely markerless and extracts kinematic information by analyzing video sequences obtained from an RGB video camera. These properties make the proposed approach particularly suitable in medical contexts where visual gait observation is still a recognised procedure or the invasiveness and high costs of ...
Goffredo, Michela+2 more
openaire +4 more sources