A Three-Dimensional Real-Time Gait-Based Age Detection System Using Machine Learning-Reference-Cited by-同舟云学术

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A Three-Dimensional Real-Time Gait-Based Age Detection System Using Machine Learning

Published:2023 Issue:1 Volume:75 Page:165-182
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Azhar Muhammad,Ullah Sehat,Ullah Khalil,Shah Habib,Namoun Abdallah,Ur Rahman Khaliq

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v75n1/51467/pdf

Reference48 articles.

1. Learning age from gait: A survey;Aderinola;IEEE Access,2021

2. Understanding human aging patterns from a machine perspective;Chen,2018

3. Age detection in a surveillance video using deep learning technique;Vasavi;SN Computer Science,2021

4. Chronological age estimation under the guidance of age-related facial attributes;Xie;IEEE Transactions on Information Forensics and Security,2019

5. A learning framework for age rank estimation based on face images with scattering transform;Chang;IEEE Transactions on Image Processing,2015

Cited by 2 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. Multilabel Machine Learning System for Predicting Gender and Age Group from Human Gait;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

2. DDoS Attack Detection Using Ensemble Machine Learning;Algorithms for Intelligent Systems;2024

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