109407
RIPD/ADA/109407/2009
FCT - Fundação para a Ciência e a Tecnologia, I.P.
Portugal
5876-PPCDTI
79,792.00 €
2010-06-01
2012-12-31
One nuclear behavior modification in people with autism is a qualitative change in social interactions, resulting in the pursuit of social isolation, instrumental relationships, absence of an awareness of emotions and feelings, and difficulty in imitating actions or situations with a more representative content. Up to the moment, the work developed by this team aimed to investigate how robots can contribute to ...
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 throug...
Stereotypical motor movements are one of the most common and least understood behaviors occurring in individuals with Autism Spectrum Disorder (ASD). To overcome problems with traditional methods for measuring stereotypical motor movements in persons with ASD, the Kinect sensor from Microsoft and gesture recognition algorithms were used to automatically detect hand flapping. This study provides a valuable tool ...
Stereotypical motor movements are one of the most common and least understood behaviors occurring in individuals with Autism Spectrum Disorder (ASD). The traditional methods for recording the number of occurrences and duration of stereotypies are insufficient and time consuming. Thus the objective of this study is to automatically detect stereotypical motor movements in real time considering two different appro...
This article describes an exploratory study in which children with autism interact with KASPAR, a humanoid robot, equipped with tactile sensors able to distinguish a gentle from a harsh touch, and to respond accordingly. The study investigated a novel scenario for robot-assisted play, namely to increase body awareness with tasks that taught the children about the identification of human body parts. Based on our...
In this paper we present a child-robot interaction pilot study, focusing on recognizing and labelling emotions displayed by a humanoid robot. ZECA (Zeno Engaging Children with Autism) has a special skin covering its face which allows the display of facial expressions representing five emotions: joy, sadness, fear, anger, and surprise. These facial expressions were used in two different game scenarios, involving...
This paper presents a case study on the use of the Microsoft Kinect sensor and the gesture recognition algorithm, Dynamic Time Warping (DTW to automatically detect stereotyped motor behaviours in children with Autism Spectrum Disorder (ASD). The proposed system was initially tested in a laboratory environment, and after the encouraging results obtained, the system was tested during the sessions with children wi...
This paper presents an exploratory study in which children with autism interact with ZECA (Zeno Engaging Children with Autism). ZECA is a humanoid robot with a face covered with a material allowing the display of varied facial expressions. The study investigates a novel scenario for robot-assisted play, to help promoting labelling of emotions by children with autism spectrum disorders (ASD). The study was perfo...
In this article we describe a human-robot interaction study, focusing on tactile aspects of interaction, in which children with autism interacted with the child-like humanoid robot KASPAR. KASPAR was equipped with touch sensors in order to be able to distinguish gentle from harsh touch, and to respond accordingly. The study investigated a novel scenario for robot-assisted play, with the goal to increase body aw...
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