Challenging an algorithm built for autism classification using movement data by applying it to data from conditions with similar kinematic styles

Theofaneia Ntounia; Ellen Poliakoff; Alexander J. Casson; Emma Gowen

Challenging an algorithm built for autism classification using movement data by applying it to data from conditions with similar kinematic styles

Theofaneia Ntounia, Ellen Poliakoff, Alexander J. Casson, Emma Gowen

Division of Neuroscience
Division of Neuroscience
EEE - Academic & Research

Research output: Contribution to conference › Abstract › peer-review

Original language	English
Publication status	Accepted/In press - 7 Jun 2022

Embargoed Document

Abstract submitted NCM
Accepted author manuscript, 30.2 KB
Embargo ends: 1/01/32

Cite this

@conference{4637f78bbd5b44dbad01aba5b2b7aede,

title = "Challenging an algorithm built for autism classification using movement data by applying it to data from conditions with similar kinematic styles",

author = "Theofaneia Ntounia and Ellen Poliakoff and Casson, {Alexander J.} and Emma Gowen",

year = "2022",

month = jun,

day = "7",

language = "English",

}