Motion Capture System based on RGB Camera for Human Walking Recognition using Marker-based and Markerless for Kinematics of Gait-Reference-Cited by-同舟云学术

Motion Capture System based on RGB Camera for Human Walking Recognition using Marker-based and Markerless for Kinematics of Gait

Published:2023-05-20 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th Symposium on Computer Applications & Industrial Electronics (ISCAIE)
language:
Short-container-title:

Author:

Yunardi Riky Tri¹,Sardjono Tri Arief²,Mardiyanto Ronny¹

Affiliation:

1. Institut Teknologi Sepuluh Nopember,Department of Electrical Engineering Faculty of Intelligent Electrical and Informatics Technology,Surabaya,Indonesia

2. Institut Teknologi Sepuluh Nopember,Department of Biomedical Engineering Faculty of Intelligent Electrical and Informatics Technology,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10164828/10164818/10164935.pdf?arnumber=10164935

Reference30 articles.

1. Artificial neural network model for the characterization of human locomotion parameters;ashmi;2021 International Conference on Communication Control and Information Sciences (ICCISc),2021

2. Marker-based motion capture for measuring joint kinematics in leg swing simulator

3. Agreement between Inertia and Optical Based Motion Capture during the VU-Return-to-Play- Field-Test

4. Deep Learning-Based Gait Recognition Using Smartphones in the Wild

5. Marker-less versus marker-based driven musculoskeletal models of the spine during static load-handling activities

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Skeleton-Based Gait Recognition Using Modified Deep Convolutional Neural Networks and Long Short-Term Memory for Person Recognition;IEEE Access;2024