Artificial Intelligence-Based Assessment System for Evaluating Suitable Range of Heel Height-Reference-Cited by-同舟云学术

Artificial Intelligence-Based Assessment System for Evaluating Suitable Range of Heel Height

Published:2021 Issue: Volume:9 Page:38374-38385
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lee Si-Huei,Lin Bor-Shing^ORCID,Lee Hsiang-Chen,Huang Xiao-Wei,Chi Ya-Chu,Lin Bor-Shyh^ORCID,Abe Kaoru

Funder

Ministry of Science and Technology in Taiwan

Higher Education Sprout Project of the National Chiao Tung University and Ministry of Education (MOE), Taiwan, through the University System of Taipei Joint Research Program

Faculty Group Research Funding Sponsorship by National Taipei University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09369332.pdf?arnumber=9369332

Cited by 7 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. A systematic review of artificial neural network techniques for analysis of foot plantar pressure;Biocybernetics and Biomedical Engineering;2024-01

2. Artificial Intelligence–Based Mobile Application for Identifying Suitable Height Range of High Heels;IEEE Access;2024

3. A New Method of Design and Manufacturing of Foot Orthoses Using Digital Technology with an Approach Towards Artificial Intelligence;2024

4. Application of Data Mining in Network Information Dynamic Push Software;Security and Communication Networks;2022-08-10

5. Assessment System for Predicting Maximal Safe Range for Heel Height by Using Force-Sensing Resistor Sensors and Regression Models;Sensors;2022-04-30