Pathological Gait Classification Using Kinect v2 and Gated Recurrent Neural Networks

Pathological Gait Classification Using Kinect v2 and Gated Recurrent Neural Networks

With the development of depth sensors and skeleton tracking algorithms, many skeleton-based pathological gait classification methods have recently been proposed. However, these methods classify only simple gait patterns, and there is no approach to classify complicated gait patterns. In this paper,...

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Bibliographic Details
Main Authors: Kooksung Jun, Yongwoo Lee, Sanghyub Lee, Deok-Won Lee, Mun Sang Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Pathological gait classification
skeleton-based classification
gated recurrent unit
deep learning
kinect
Online Access:https://ieeexplore.ieee.org/document/9152991/

Internet

https://ieeexplore.ieee.org/document/9152991/

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