@inproceedings{cb1bac1c625b4bbfbaff46585bbc7eed,
title = "Human-robot upper body gesture imitation analysis for autism spectrum disorders",
abstract = "In this paper we combine robot control and data analysis techniques into a system aimed at early detection and treatment of autism. A humanoid robot - Zeno is used to perform interactive upper body gestures which the human subject can imitate or initiate. The result of interaction is recorded using a motion capture system, and the similarity of gestures performed by human and robot is measured using the Dynamic Time Warping algorithm. This measurement is proposed as a quantitative similarity measure to objectively analyze the quality of the imitation interaction between the human and the robot. In turn, the clinical hypothesis is that this will serve as a consistent quantitative measurement, and can be used to obtain information about the condition and possible improvement of children with autism spectrum disorders. Experimental results with a small set of child subjects are presented to illustrate our approach.",
author = "Isura Ranatunga and Monica Beltran and Torres, {Nahum A.} and Nicoleta Bugnariu and Patterson, {Rita M.} and Carolyn Garver and Popa, {Dan O.}",
year = "2013",
month = dec,
day = "1",
doi = "10.1007/978-3-319-02675-6_22",
language = "English",
isbn = "9783319026749",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "218--228",
booktitle = "Social Robotics - 5th International Conference, ICSR 2013, Proceedings",
note = "null ; Conference date: 27-10-2013 Through 29-10-2013",
}