Have a personal or library account? Click to login
Real-Time Identification from Gait Features Using Cascade Voting Method Cover

Real-Time Identification from Gait Features Using Cascade Voting Method

Applied Computer Systems
Volume 26 (2021): Issue 2 (December 2021)
By: Berk Ercin and  Abdulkadir Karacı  
Open Access
|Dec 2021

Authors

Berk Ercin

berkerciks@gmail.com

Kastamonu University, Kastamonu, Turkey

Abdulkadir Karacı

akaraci@kastamonu.edu.tr

Kastamonu University, Kastamonu, Turkey
DOI: https://doi.org/10.2478/acss-2021-0020 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
Journal RSS Feed
Language: English
Page range: 164 - 172
Published on: Dec 30, 2021
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Deep neural network,
identification,
Kinect,
machine learning,
voting approach
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2021 Berk Ercin, Abdulkadir Karacı, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous articleVolume 26 (2021): Issue 2 (December 2021)Next article