Stereotype movement recognition in children with ASD
Main Author: | |
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Publication Date: | 2012 |
Other Authors: | , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/1822/21370 |
Summary: | The Autism Spectrum Disorders (ASD) covers different events, being one of them body rocking, mouthing, and complex hand and finger movements [1]. The traditional methods for recording the number of occurrences and duration of stereotypes are inadequate and time consuming. Therefore, it was used a commercial system with accelerometers sensors that records the movement of wrist and sends the collected data through a wireless network to the computer. Statistical methods were used to characterize the signal acquired from a previously expressed stereotypy. The parameters that were analyzed are: RMS, Standard Variation, Peaks and Valleys. At the end, the proposed methodology facilitates to identify behavioral patterns special relevant when studying interaction skills in children with ASD. |
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Stereotype movement recognition in children with ASDStereotypical motor movementsAccelerometerASDScience & TechnologyThe Autism Spectrum Disorders (ASD) covers different events, being one of them body rocking, mouthing, and complex hand and finger movements [1]. The traditional methods for recording the number of occurrences and duration of stereotypes are inadequate and time consuming. Therefore, it was used a commercial system with accelerometers sensors that records the movement of wrist and sends the collected data through a wireless network to the computer. Statistical methods were used to characterize the signal acquired from a previously expressed stereotypy. The parameters that were analyzed are: RMS, Standard Variation, Peaks and Valleys. At the end, the proposed methodology facilitates to identify behavioral patterns special relevant when studying interaction skills in children with ASD.The authors are also grateful to the Portuguese Foundation for Science and Technology, FCT- in Portuguese Fundação para a Ciência e a Tecnologia, for funding through the R&D project reference RIPD/ADA/109407/2009. This work is supported by a QREN initiative, from UE/FEDER (in Portuguese Fundo Europeu de Desenvolvimento Regional) funds through the "Programa Operacional Factores de Competitividade – COMPETE".Elsevier ScienceUniversidade do MinhoRodrigues, José L.Gonçalves, NunoCosta, Sandra Cristina CunhaSoares, Filomena20122012-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/21370eng1877-705810.1016/j.proeng.2012.09.235info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-12T04:31:15Zoai:repositorium.sdum.uminho.pt:1822/21370Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:19:17.672481Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Stereotype movement recognition in children with ASD |
title |
Stereotype movement recognition in children with ASD |
spellingShingle |
Stereotype movement recognition in children with ASD Rodrigues, José L. Stereotypical motor movements Accelerometer ASD Science & Technology |
title_short |
Stereotype movement recognition in children with ASD |
title_full |
Stereotype movement recognition in children with ASD |
title_fullStr |
Stereotype movement recognition in children with ASD |
title_full_unstemmed |
Stereotype movement recognition in children with ASD |
title_sort |
Stereotype movement recognition in children with ASD |
author |
Rodrigues, José L. |
author_facet |
Rodrigues, José L. Gonçalves, Nuno Costa, Sandra Cristina Cunha Soares, Filomena |
author_role |
author |
author2 |
Gonçalves, Nuno Costa, Sandra Cristina Cunha Soares, Filomena |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Rodrigues, José L. Gonçalves, Nuno Costa, Sandra Cristina Cunha Soares, Filomena |
dc.subject.por.fl_str_mv |
Stereotypical motor movements Accelerometer ASD Science & Technology |
topic |
Stereotypical motor movements Accelerometer ASD Science & Technology |
description |
The Autism Spectrum Disorders (ASD) covers different events, being one of them body rocking, mouthing, and complex hand and finger movements [1]. The traditional methods for recording the number of occurrences and duration of stereotypes are inadequate and time consuming. Therefore, it was used a commercial system with accelerometers sensors that records the movement of wrist and sends the collected data through a wireless network to the computer. Statistical methods were used to characterize the signal acquired from a previously expressed stereotypy. The parameters that were analyzed are: RMS, Standard Variation, Peaks and Valleys. At the end, the proposed methodology facilitates to identify behavioral patterns special relevant when studying interaction skills in children with ASD. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012 2012-01-01T00:00:00Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/21370 |
url |
https://hdl.handle.net/1822/21370 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1877-7058 10.1016/j.proeng.2012.09.235 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
dc.source.none.fl_str_mv |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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