Human Pose Estimation-Based Real-Time Gait Analysis Using Convolutional Neural Network
Gait analysis is widely used in clinical practice to help in understanding the gait abnormalities and its association with a certain underlying medical condition for better diagnosis and prognosis. Several technologies embedded in the specialized devices such as computer-interfaced video cameras to...
Main Authors: | Ali Rohan, Mohammed Rabah, Tarek Hosny, Sung-Ho Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9220146/ |
Similar Items
-
Synthetic Image Translation for Football Players Pose Estimation
by: Michał Sypetkowski, et al.
Published: (2019-06-01) -
Vision-Based Spacecraft Pose Estimation via a Deep Convolutional Neural Network for Noncooperative Docking Operations
by: Thaweerath Phisannupawong, et al.
Published: (2020-08-01) -
Multi-Person Pose Estimation Using Thermal Images
by: I-Chien Chen, et al.
Published: (2020-01-01) -
Iterative Pose Refinement for Object Pose Estimation Based on RGBD Data
by: Shao-Kang Huang, et al.
Published: (2020-07-01) -
Head Pose Estimation in the Wild Assisted by Facial Landmarks Based on Convolutional Neural Networks
by: Jiahao Xia, et al.
Published: (2019-01-01)