Publicação
Stereotyped movement recognition in children with ASD
| Resumo: | Autism Spectrum Disorders (ASD) manifest in different behaviors, 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. The collected data is sent through a wireless network to the computer, where an application was developed to distinguish the movement made by the children as a stereotyped gesture, hand flapping movement, from a normal gesture. The system was previously tested in laboratory environment and during the intervention sessions. Statistical methods were used to characterize the signal acquired from a previously expressed stereotype recorded from a child with ASD. The parameters that were analyzed are: Root Mean Square (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. (C) 2013 Published by Elsevier B.V. |
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| Autores principais: | Rodrigues, Jose L. |
| Outros Autores: | Goncalves, Nuno; Costa, Sandra; Soares, Filomena |
| Assunto: | Accelerometer sensor Stereotyped motor movements Gesture recognition |
| Ano: | 2013 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | Autism Spectrum Disorders (ASD) manifest in different behaviors, 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. The collected data is sent through a wireless network to the computer, where an application was developed to distinguish the movement made by the children as a stereotyped gesture, hand flapping movement, from a normal gesture. The system was previously tested in laboratory environment and during the intervention sessions. Statistical methods were used to characterize the signal acquired from a previously expressed stereotype recorded from a child with ASD. The parameters that were analyzed are: Root Mean Square (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. (C) 2013 Published by Elsevier B.V. |
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