Automated Detection of Stereotypical Motor Movements / Matthew GOODWIN in Journal of Autism and Developmental Disorders, 41-6 (June 2011)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 41-6 (June 2011) . - p.770-782 Titre : Automated Detection of Stereotypical Motor Movements Type de document : Texte imprimé et/ou numérique Auteurs : Matthew GOODWIN, Auteur ; Stephen S. INTILLE, Auteur ; Fahd ALBINALI, Auteur ; Wayne F. VELICER, Auteur Année de publication : 2011 Article en page(s) : p.770-782 Langues : Anglais (eng) Mots-clés : Stereotypical motor movement  Accelerometry  Pattern recognition Index. décimale : PER Périodiques Résumé : To overcome problems with traditional methods for measuring stereotypical motor movements in persons with Autism Spectrum Disorders (ASD), we evaluated the use of wireless three-axis accelerometers and pattern recognition algorithms to automatically detect body rocking and hand flapping in children with ASD. Findings revealed that, on average, pattern recognition algorithms correctly identified approximately 90% of stereotypical motor movements repeatedly observed in both laboratory and classroom settings. Precise and efficient recording of stereotypical motor movements could enable researchers and clinicians to systematically study what functional relations exist between these behaviors and specific antecedents and consequences. These measures could also facilitate efficacy studies of behavioral and pharmacologic interventions intended to replace or decrease the incidence or severity of stereotypical motor movements. En ligne : http://dx.doi.org/10.1007/s10803-010-1102-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=127 [article] Automated Detection of Stereotypical Motor Movements [Texte imprimé et/ou numérique] / Matthew GOODWIN, Auteur ; Stephen S. INTILLE, Auteur ; Fahd ALBINALI, Auteur ; Wayne F. VELICER, Auteur . - 2011 . - p.770-782. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 41-6 (June 2011) . - p.770-782 Mots-clés : Stereotypical motor movement  Accelerometry  Pattern recognition Index. décimale : PER Périodiques Résumé : To overcome problems with traditional methods for measuring stereotypical motor movements in persons with Autism Spectrum Disorders (ASD), we evaluated the use of wireless three-axis accelerometers and pattern recognition algorithms to automatically detect body rocking and hand flapping in children with ASD. Findings revealed that, on average, pattern recognition algorithms correctly identified approximately 90% of stereotypical motor movements repeatedly observed in both laboratory and classroom settings. Precise and efficient recording of stereotypical motor movements could enable researchers and clinicians to systematically study what functional relations exist between these behaviors and specific antecedents and consequences. These measures could also facilitate efficacy studies of behavioral and pharmacologic interventions intended to replace or decrease the incidence or severity of stereotypical motor movements. En ligne : http://dx.doi.org/10.1007/s10803-010-1102-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=127

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