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Gait Recognition in the Wild with Dense 3D Representations and A Benchmark [PDF]
Computer Vision and Pattern Recognition, 2022 Existing studies for gait recognition are dominated by 2D representations like the silhouette or skeleton of the human body in constrained scenes. However, humans live and walk in the unconstrained 3D space, so projecting the 3D human body onto the 2D ...
Jinkai Zheng +5 more
semanticscholar +1 more source
OpenGait: Revisiting Gait Recognition Toward Better Practicality [PDF]
Computer Vision and Pattern Recognition, 2022 Gait recognition is one of the most critical long-distance identification technologies and increasingly gains popularity in both research and industry communities.
Chao Fan +5 more
semanticscholar +1 more source
Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition [PDF]
International Conference on Information Photonics, 2021 Gait recognition is a promising video-based biometric for identifying individual walking patterns from a long distance. At present, most gait recognition methods use silhouette images to represent a person in each frame.
Torben Teepe +5 more
semanticscholar +1 more source
GaitSet: Cross-View Gait Recognition Through Utilizing Gait As a Deep Set [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Gait is a unique biometric feature that can be recognized at a distance; thus, it has broad applications in crime prevention, forensic identification, and social security.
Hanqing Chao +4 more
semanticscholar +1 more source
Clinical Case Reports, 2021 AbstractAtaxia as the main complaint in a young patient prompts to diagnose neurodegenerative diseases. Not all ataxias are irreversible. We present a video of a patient in the clinic with ataxia diagnosed as subacute combined degeneration of the cord.
Shalini Bhaskar +2 more
openaire +3 more sources
Toe-walking in heterozygous carriers of McArdle disease
Лечащий Врач, 2022 McArdle disease (glycogen storage disease type V) is a metabolic myopathy often onset in the first decade of life. The main symptoms of the disease include myalgia and fatigue in the first few minutes of exercise, as well as its intolerance, including ...
D. Pomarino +3 more
doaj +1 more source
Frontiers in Human Neuroscience, 2022 In literature, indices of overall walking ability that are based on ground reaction forces have been proposed because of their ease of administration with patients.
Davide Mazzoli +9 more
doaj +1 more source
Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation [PDF]
IEEE International Conference on Computer Vision, 2020 Gait recognition is one of the most important biometric technologies and has been applied in many fields. Recent gait recognition frameworks represent each gait frame by descriptors extracted from either global appearances or local regions of humans ...
Beibei Lin, Shunli Zhang, Xin Yu
semanticscholar +1 more source
Deep Gait Recognition: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Gait recognition is an appealing biometric modality which aims to identify individuals based on the way they walk. Deep learning has reshaped the research landscape in this area since 2015 through the ability to automatically learn discriminative ...
Alireza Sepas-Moghaddam, A. Etemad
semanticscholar +1 more source
Foot Assessment Clinical Scales in Charcot-Marie-Tooth Patients: A Scoping Review
Frontiers in Human Neuroscience, 2022 IntroductionCharcot-Marie-Tooth disease (CMT) is a slow and progressive peripheral motor sensory neuropathy frequently associated with the cavo-varus foot deformity.
Chiara Rambelli +10 more
doaj +1 more source