Study on an Assistive Robot for Improving Imitation Skill of Children with Autism View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2010

AUTHORS

Isao Fujimoto , Tohru Matsumoto , P. Ravindra S. De Silva , Masakazu Kobayashi , Masatake Higashi

ABSTRACT

In this paper, we report the effectiveness of a therapeutic humanoid robot for children with autism to improve his/her imitation skill. In order to realize this system, a robot has to provide two functions: mimicking and evaluating the child’s motion in real time. The former function is achieved by selecting key frames using the Q-Learning approach to remove noisy camera data. The latter is established via a cluster-based framework on Mixture Gaussian and Expectation-Maximization algorithm using parameters which are converted by Principal Component Analysis. Practical experiments are shown in which autistic children interact with a robot and are trained by executing specific tasks for improving imitation skill. More... »

PAGES

232-242

References to SciGraph publications

Book

TITLE

Social Robotics

ISBN

978-3-642-17247-2
978-3-642-17248-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-17248-9_24

DOI

http://dx.doi.org/10.1007/978-3-642-17248-9_24

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037895713


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