Application of ANN in Gait Features of Children for Gender Classification
This paper presents the application of ANN in gender classification for children in Malaysia. The study involved kinematic data from 31 healthy children aged between 6 to 12 years old. The joint angles of hip, knee, ankle and pelvic were obtained using Vicon Nexus motion system at Human Motion and G...
Published in: | Procedia Computer Science |
---|---|
Main Author: | Zakaria N.K.; Jailani R.; Tahir N.M. |
Format: | Conference paper |
Language: | English |
Published: |
Elsevier B.V.
2015
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962921428&doi=10.1016%2fj.procs.2015.12.348&partnerID=40&md5=8cd382b3a9cb83d4aafa25c71f133753 |
Similar Items
-
Anomaly gait classification of Parkinson disease based on ANN
by: Hazfiza Manap H.; Md Tahir N.; Ahmad Ihsan Mohamed Yassin; Abdullah R.
Published: (2011) -
Feature selection of electromyography signals for autism spectrum disorder children during gait using mann-whitney test
by: Mohd Nor M.N.; Jailani R.; Tahir N.M.
Published: (2020) -
Diagnosing Autism Spectrum Disorder in Pediatric Patients via Gait Analysis using ANN and SVM with Electromyography Signals
by: Jailani R.; Zakaria N.K.; Nor M.N.M.; Supriyono H.
Published: (2024) -
Review on Current Methods of Gait Analysis and Recognition using Kinect
by: Sahak R.; Zakaria N.K.; Tahir N.M.; Yassin A.I.M.; Jailani R.
Published: (2019) -
Diagnosing Autism Spectrum Disorder in Pediatric Patients via Gait Analysis using ANN and SVM with Electromyography Signals
by: Jailani, et al.
Published: (2024)