Mapping the Global Landscape and Thematic Evolution of fNIRS-Gait Research: A Systematic Bibliometric and Network Visualization Analysis [PDF]
BioengineeringBackground: Functional near-infrared spectroscopy (fNIRS) has emerged as an essential optical neuroimaging modality in human locomotion, yet a comprehensive computational mapping of its structural and thematic evolution remains absent.
Yunis Akkaş, Senem Güner, Naime Uluğ
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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
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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
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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
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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
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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, Shun-Li Zhang, Xin Yu
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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
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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
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IN VITRO AND IN VIVO EFFICIENCY OF EUPHORBIA ANTIQUORUM AS ANTIOXIDANT AND HEPATOPROTECTIVE AGAINST CCL4 – HEPATIC HAZARDS IN RATS. [PDF]
Al-Azhar Journal of Pharmaceutical Sciences, 2012 The aqueous extract of the aerial parts of Euphorbia antiquorum (EA) Linn was evaluated for its in vitro antioxidant efficiency as well as in vivo hepatoprotective and antioxidant activity to validate its use in traditional therapeutic medications.
Mansour Gait
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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
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