The Autism Spectrum Disorders (ASD) covers different events, being one of them body rocking, mouthing, and complex hand and finger movements . 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. © 2012 The Authors. Published by Elsevier Ltd.
Rodrigues, J. L., Gonçalves, N., Costa, S., & Soares, F. (2012). Stereotype movement recognition in children with ASD. In Procedia Engineering (Vol. 47, pp. 668–671). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2012.09.235