Results 41 to 50 of about 252,559 (175)
Gait Graph Optimization: Generate Variable Gaits from One Base Gait for Lower-limb Rehabilitation Exoskeleton Robots [PDF]
arXiv, 2020 The most concentrated application of lower-limb rehabilitation exoskeleton (LLE) robot is that it can help paraplegics "re-walk". However, "walking" in daily life is more than just walking on flat ground with fixed gait. This paper focuses on variable gaits generation for LLE robot to adapt complex walking environment.
arxiv
Learning Quadruped Locomotion Policies using Logical Rules [PDF]
arXiv, 2021 Quadruped animals are capable of exhibiting a diverse range of locomotion gaits. While progress has been made in demonstrating such gaits on robots, current methods rely on motion priors, dynamics models, or other forms of extensive manual efforts. People can use natural language to describe dance moves.
arxiv
Frontiers in NeurologyIntroductionPatients with Charcot–Marie–Tooth disease (CMT) often suffer from walking-related pain (WRP), muscle weakness, foot deformities, and reduced ankle dorsiflexion (DF), which affects their ability to walk and daily activities. Functional surgery
Giacomo Basini +10 more
doaj +1 more source
Towards a Deeper Understanding of Skeleton-based Gait Recognition [PDF]
arXiv, 2022 Gait recognition is a promising biometric with unique properties for identifying individuals from a long distance by their walking patterns. In recent years, most gait recognition methods used the person's silhouette to extract the gait features. However, silhouette images can lose fine-grained spatial information, suffer from (self) occlusion, and be ...
arxiv
Journal of NeuroEngineering and Rehabilitation, 2020 Background Sit-to-stand and stand-to-sit transitions are frequent daily functional tasks indicative of muscle power and balance performance. Monitoring these postural transitions with inertial sensors provides an objective tool to assess mobility in both
Arash Atrsaei +6 more
doaj +1 more source
Journal of Exercise Science & Fitness, 2022 Background/Objectives: We performed a meta-analysis of randomized controlled trials (RCTs) assessing the effect of Aquatic High Intensity Interval Training (AHIIT) on cardiometabolic and physical health markers in women. Methods: Systematic search used 7
Manny M.Y. Kwok +3 more
doaj
Parkinson's Disease, 2012 Several gait impairments have been associated with freezing of gait (FOG) in patients with Parkinson's disease (PD). These include deteriorations in rhythm control, gait symmetry, bilateral coordination of gait, dynamic postural control and step scaling.
Meir Plotnik +2 more
doaj +1 more source
Person Identification from Partial Gait Cycle Using Fully Convolutional Neural Network [PDF]
arXiv, 2018 Gait as a biometric property for person identification plays a key role in video surveillance and security applications. In gait recognition, normally, gait feature such as Gait Energy Image (GEI) is extracted from one full gait cycle. However in many circumstances, such a full gait cycle might not be available due to occlusion.
arxiv
Persistent-homology-based gait recognition [PDF]
arXiv, 2017 Gait recognition is an important biometric technique for video surveillance tasks, due to the advantage of using it at distance. In this paper, we present a persistent homology-based method to extract topological features (the so-called {\it topological gait signature}) from the the body silhouettes of a gait sequence.
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