Results 61 to 70 of about 22,284,482 (173)
Modeling Data-Driven Dominance Traits for Virtual Characters using Gait Analysis [PDF]
arXiv, 2019 We present a data-driven algorithm for generating gaits of virtual characters with varying dominance traits. Our formulation utilizes a user study to establish a data-driven dominance mapping between gaits and dominance labels. We use our dominance mapping to generate walking gaits for virtual characters that exhibit a variety of dominance traits while
arxiv
MEMS Inertial Sensors Based Gait Analysis for Rehabilitation Assessment via Multi-Sensor Fusion
Micromachines, 2018 Gait and posture are regular activities which are fully controlled by the sensorimotor cortex. In this study, fluctuations of joint angle and asymmetry of foot elevation in human walking stride records are analyzed to assess gait in healthy adults and ...
S. Qiu +4 more
semanticscholar +1 more source
GaitMotion: A Multitask Dataset for Pathological Gait Forecasting [PDF]
arXivGait benchmark empowers uncounted encouraging research fields such as gait recognition, humanoid locomotion, etc. Despite the growing focus on gait analysis, the research community is hindered by the limitations of the currently available databases, which mostly consist of videos or images with limited labeling.
arxiv
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos [PDF]
arXivAccurate diagnosis of gait impairments is often hindered by subjective or costly assessment methods, with current solutions requiring either expensive multi-camera equipment or relying on subjective clinical observation. There is a critical need for accessible, objective tools that can aid in gait assessment while preserving patient privacy.
arxiv
Gaussian Process-driven Hidden Markov Models for Early Diagnosis of Infant Gait Anomalies [PDF]
arXivGait analysis is critical in the early detection and intervention of motor neurological disorders in infants. Despite its importance, traditional methods often struggle to model the high variability and rapid developmental changes inherent to infant gait. To address these challenges, we propose a probabilistic Gaussian Process (GP)-driven Hidden Markov
arxiv
Marker-free Human Gait Analysis using a Smart Edge Sensor System [PDF]
arXivThe human gait is a complex interplay between the neuronal and the muscular systems, reflecting an individual's neurological and physiological condition. This makes gait analysis a valuable tool for biomechanics and medical experts. Traditional observational gait analysis is cost-effective but lacks reliability and accuracy, while instrumented gait ...
arxiv
Spontaneous gait synchronisation in the wild: exploring the effect of distance and level of interaction [PDF]
arXivGait synchronization in pedestrians is influenced by biomechanical, environmental, and cognitive factors. Studying gait in ecological settings provides insights often missed in controlled experiments. This study tackles the challenges of assessing gait coordination in real-world interactions using a dataset of uninstructed pedestrian trajectories ...
arxiv
Gait analysis in neurological populations: Progression in the use of wearables.
Medical Engineering and Physics, 2021 Y. Çelik +3 more
semanticscholar +1 more source
Annals of Physical and Rehabilitation Medicine, 2011 Leon Chaitow, Judith DeLany
openaire +3 more sources
Journal of Orthopaedics and Traumatology, 2001 This paper reviews the main techniques developed for gait analysis, which are categorized according to the type of analysis they perform. Their main positive and negative aspects are presented. These aspects, together with the experience, technical support and innovation of each gait laboratory, are essential for the choice of a technique for a lab.
openaire +2 more sources