TY - GEN
T1 - Recognition of affective state for austist from stereotyped gestures
AU - Camada, Marcos Yuzuru O.
AU - Stéfano, Diego
AU - Cerqueira, Jés J.F.
AU - Lima, Antonio Marcus N.
AU - Conceição, André Gustavo S.
AU - Da Costa, Augusto C.P.L.
N1 - Publisher Copyright:
© Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
PY - 2016
Y1 - 2016
N2 - 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: HiddenMarkovModels (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.
AB - 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: HiddenMarkovModels (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.
KW - Assistive Robotic
KW - Autism
KW - Fuzzy Inference System
KW - HMM
KW - HRI
KW - Stereotyped Gesture
UR - http://www.scopus.com/inward/record.url?scp=85013129776&partnerID=8YFLogxK
U2 - 10.5220/0005983201970204
DO - 10.5220/0005983201970204
M3 - Conference contribution
AN - SCOPUS:85013129776
T3 - ICINCO 2016 - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics
SP - 197
EP - 204
BT - ICINCO 2016 - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics
A2 - Gusikhin, Oleg
A2 - Peaucelle, Dimitri
A2 - Madani, Kurosh
PB - SciTePress
T2 - 13th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2016
Y2 - 29 July 2016 through 31 July 2016
ER -