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Authors: Marcos Yuzuru O. Camada 1 ; Diego Stéfano 2 ; Jés J. F. Cerqueira 2 ; Antonio Marcus N. Lima 3 ; André Gustavo S. Conceição 2 and Augusto C. P. L. da Costa 2

Affiliations: 1 IFBaiano, Brazil ; 2 Federal University of Bahia, Brazil ; 3 Federal University of Campina Grande, Brazil

ISBN: 978-989-758-198-4

Keyword(s): HRI, HMM, Fuzzy Inference System, Autism, Stereotyped Gesture, Assistive Robotic.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Cognitive Robotics ; Enterprise Information Systems ; Human-Robots Interfaces ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Knowledge-Based Systems Applications ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; System Modeling

Abstract: Autists may exhibit difficulty in interaction (social and communication) with others and also stereotyped gestures. Thus, autists have difficulty to recognize and to express emotions. Human-Robot Interaction (HRI) researches have contributed with robotic devices able to be mediator among autist, therapists and parents. The stereotyped behaviors of these individuals are due to their defense mechanism from of their hypersensitivity. The affective state of a person can be quantify from poses and gestures. This paper proposes a system is able to infer the defense level of autists from their stereotyped gestures. This system is part of the socially assistive robot project called HiBot. The proposed system consist of two cognitive subsystems: Hidden Markov Models (HMM), in order to determine the stereotyped gesture, and Fuzzy Inference System (FIS), to infer activation level of these gestures. The results of these simulations show this approach is able to infer the defense level for an task or the presence of the robot. (More)

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Paper citation in several formats:
Camada, M.; Stéfano, D.; Cerqueira, J.; Lima, A.; Conceição, A. and Costa, A. (2016). Recognition of Affective State for Austist from Stereotyped Gestures.In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-198-4, pages 197-204. DOI: 10.5220/0005983201970204

@conference{icinco16,
author={Marcos Yuzuru O. Camada. and Diego Stéfano. and Jés J. F. Cerqueira. and Antonio Marcus N. Lima. and André Gustavo S. Concei\c{C}ão. and Augusto C. P. L. da Costa.},
title={Recognition of Affective State for Austist from Stereotyped Gestures},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2016},
pages={197-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005983201970204},
isbn={978-989-758-198-4},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Recognition of Affective State for Austist from Stereotyped Gestures
SN - 978-989-758-198-4
AU - Camada, M.
AU - Stéfano, D.
AU - Cerqueira, J.
AU - Lima, A.
AU - Conceição, A.
AU - Costa, A.
PY - 2016
SP - 197
EP - 204
DO - 10.5220/0005983201970204

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