@conference{Khir2015115,
title = {Can spatiotemporal gait analysis identify a child with Autistic Spectrum Disorder?},
author = {N H B M Khir and M Ismail and N Jamil and F H A Razak},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959505294&doi=10.1109%2fROMA.2014.7295872&partnerID=40&md5=dbaae7a86b78fa037d60f4b944ed2dc6},
doi = {10.1109/ROMA.2014.7295872},
isbn = {9781479957651},
year = {2015},
date = {2015-01-01},
journal = {2014 IEEE International Symposium on Robotics and Manufacturing Automation, IEEE-ROMA2014},
pages = {115-119},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The aim of this study is to investigate the ability of spatiotemporal gait analysis to identify the Autistic Spectrum Disorder child (ASD). Even though the interest in gait analysis is becoming popular among researchers these days, yet very few quantitative studies are done on children with autism. Since motor development is not influenced by both social and linguistic development, it is believed to be a probable bio-marker of autism. The spatiotemporal gait pattern is being explored to understand the difference it may bring upon in the future. Six findings from previous researches are reviewed and analyzed to understand the crucial factor involves in this research. From the literature review and critical analysis done, spatiotemporal gait analysis may be used to identify the ASD child because the gait patterns of ASD child are discovered to be different from normal children. © 2014 IEEE.},
note = {cited By 0},
keywords = {Autism, Autism Spectrum Disorders, Children with Autism, Critical Analysis, Diseases, Economic and Social Effects, Gait Analysis, Gait Pattern, Literature Reviews, Manufacture, Quantitative Study, Robotics, Spatiotemporal},
pubstate = {published},
tppubtype = {conference}
}