Motor dysfunction and touch-slang in user interface data

Abstract The recent proliferation in mobile touch-based devices paves the way for increasingly efficient, easy to use natural user interfaces (NUI). Unfortunately, touch-based NUIs might prove difficult, or even impossible to operate, in certain conditions e.g. when suffering from motor dysfunction...

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Autores principales:	Yoni Klein, Ruth Djaldetti, Yosi Keller, Ido Bachelet
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9387c46af8a64b7ab0da04cefe04b06e
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spelling	oai:doaj.org-article:9387c46af8a64b7ab0da04cefe04b06e2021-12-02T15:05:19ZMotor dysfunction and touch-slang in user interface data10.1038/s41598-017-04893-12045-2322https://doaj.org/article/9387c46af8a64b7ab0da04cefe04b06e2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04893-1https://doaj.org/toc/2045-2322Abstract The recent proliferation in mobile touch-based devices paves the way for increasingly efficient, easy to use natural user interfaces (NUI). Unfortunately, touch-based NUIs might prove difficult, or even impossible to operate, in certain conditions e.g. when suffering from motor dysfunction such as Parkinson’s Disease (PD). Yet, the prevalence of such devices makes them particularly suitable for acquiring motor function data, and enabling the early detection of PD symptoms and other conditions. In this work we acquired a unique database of more than 12,500 annotated NUI multi-touch gestures, collected from PD patients and healthy volunteers, that were analyzed by applying advanced shape analysis and statistical inference schemes. The proposed analysis leads to a novel detection scheme for early stages of PD. Moreover, our computational analysis revealed that young subjects may be using a ‘slang’ form of gesture-making to reduce effort and attention cost while maintaining meaning, whereas older subjects put an emphasis on content and precise performance.Yoni KleinRuth DjaldettiYosi KellerIdo BacheletNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-6 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yoni Klein Ruth Djaldetti Yosi Keller Ido Bachelet Motor dysfunction and touch-slang in user interface data
description	Abstract The recent proliferation in mobile touch-based devices paves the way for increasingly efficient, easy to use natural user interfaces (NUI). Unfortunately, touch-based NUIs might prove difficult, or even impossible to operate, in certain conditions e.g. when suffering from motor dysfunction such as Parkinson’s Disease (PD). Yet, the prevalence of such devices makes them particularly suitable for acquiring motor function data, and enabling the early detection of PD symptoms and other conditions. In this work we acquired a unique database of more than 12,500 annotated NUI multi-touch gestures, collected from PD patients and healthy volunteers, that were analyzed by applying advanced shape analysis and statistical inference schemes. The proposed analysis leads to a novel detection scheme for early stages of PD. Moreover, our computational analysis revealed that young subjects may be using a ‘slang’ form of gesture-making to reduce effort and attention cost while maintaining meaning, whereas older subjects put an emphasis on content and precise performance.
format	article
author	Yoni Klein Ruth Djaldetti Yosi Keller Ido Bachelet
author_facet	Yoni Klein Ruth Djaldetti Yosi Keller Ido Bachelet
author_sort	Yoni Klein
title	Motor dysfunction and touch-slang in user interface data
title_short	Motor dysfunction and touch-slang in user interface data
title_full	Motor dysfunction and touch-slang in user interface data
title_fullStr	Motor dysfunction and touch-slang in user interface data
title_full_unstemmed	Motor dysfunction and touch-slang in user interface data
title_sort	motor dysfunction and touch-slang in user interface data
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/9387c46af8a64b7ab0da04cefe04b06e
work_keys_str_mv	AT yoniklein motordysfunctionandtouchslanginuserinterfacedata AT ruthdjaldetti motordysfunctionandtouchslanginuserinterfacedata AT yosikeller motordysfunctionandtouchslanginuserinterfacedata AT idobachelet motordysfunctionandtouchslanginuserinterfacedata
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Motor dysfunction and touch-slang in user interface data

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