Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
A Semantic Context Service for Smart Offices
ICHIT '06 Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02
Gesture Recognition Based on Neural Networks for Dance Game Contents
NISS '09 Proceedings of the 2009 International Conference on New Trends in Information and Service Science
Review: Situation identification techniques in pervasive computing: A review
Pervasive and Mobile Computing
A monitoring system enhanced by means of situation-awareness for cognitive impaired people
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
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The autistic spectrum disorders (ASD) are behaviorally-defined developmental disorders of the immature brain which affect three domains of behavior: sociability and empathy; communication, language and imagination; and mental flexibility and range of interests. Main symptoms include motion disorders and stereotyped behaviors. This paper presents an approach based on Artificial Intelligence techniques and Ambient Intelligence technologies for the detection of stereotyped motion disorders of patients with ASD. Specifically, monitoring is realized by means of tri-axis accelerometers applied to the patient's wrists. Signals obtained by accelerometers are pre-processed to obtain features that, in turn, are passed to classifiers that classifies the current observation in order to detect stereotyped motions. Results are under validation at the Department of Child Psychiatry at Children's Hospital Santobono-Pausilipon in Naples.