@conference{Jamil2015342,
title = {Gait-Based Emotion Detection of Children with Autism Spectrum Disorders: A Preliminary Investigation},
author = {N Jamil and N H M Khir and M Ismail and F H A Razak},
editor = {Miskon M F Yussof H.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962833568&doi=10.1016%2fj.procs.2015.12.305&partnerID=40&md5=6893678f1ed83b87147ff9183b94428b},
doi = {10.1016/j.procs.2015.12.305},
issn = {18770509},
year = {2015},
date = {2015-01-01},
journal = {Procedia Computer Science},
volume = {76},
pages = {342-348},
publisher = {Elsevier B.V.},
abstract = {With the disturbing increase of children with Autism Spectrum Disorder (ASD) in Malaysia, a lot of efforts and studies are put forward towards understanding and managing matters related to ASD. One way is to find means of easing the social communications among these children and their caretakers, particularly during intervention. If the caretaker is able to comprehend the children emotional state of mind prior to therapy, some sort of trust and attachment will be developed. However, regulating emotions is a challenge to these children. Nonverbal communication such as facial expression is difficult for ASD children. Therefore, we proposed the use of walking patterns (i.e. gait) to detect the type of emotions of ASD children. Even though using gait for emotion recognition is common among normal individuals, none can be found done on children with ASD. Thus, the aim of this paper is to conduct a preliminary review on the possibilities of carrying out gait-based emotion detection among ASD children with regards to the emotional types, gait parameters and methods of gait data acquisition. © 2015 The Authors.},
note = {cited By 4},
keywords = {Autism Spectrum Disorders, Children with Autism, Data Acquisition, Diseases, Emotion, Emotion Detection, Emotion Recognition, Emotional State, Facial Expression, Gait Analysis, Intelligent Control, Nonverbal Communication, Pattern Recognition, Robotics, Smart Sensors, Social Communications, Speech Recognition},
pubstate = {published},
tppubtype = {conference}
}

@conference{Miskam2014b,
title = {Humanoid robot NAO as a teaching tool of emotion recognition for children with autism using the Android app},
author = {M A Miskam and S Shamsuddin and M R A Samat and H Yussof and H A Ainudin and A R Omar},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922121642&doi=10.1109%2fMHS.2014.7006084&partnerID=40&md5=012601803f19ab36eff7a41362d7db4d},
doi = {10.1109/MHS.2014.7006084},
isbn = {9781479966790},
year = {2014},
date = {2014-01-01},
journal = {2014 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2014},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this paper, we used a humanoid robot to physically show emotional poses and conduct a simple guessing game with children. Nine different emotions using the robot's body poses have been developed using Choregraphe. A pre-test was carried out with a normal developing 6-year old boy. We report some qualitative findings that we found during the child-robot interaction. We aim to develop an Android app as a simple tool that can be used on smartphones. This serves as a fundamental step to empower non-technical persons in using robots to interact with children with autism for learning and therapeutic purposes. © 2014 IEEE.},
note = {cited By 10},
keywords = {Android (Operating System), Anthropomorphic Robots, Autism, Child-Robot Interactions, Children with Autism, Cognitive Interaction, Diseases, Education, Emotion, Emotion Gestures, Emotion Recognition, Humanoid Robot, Humanoid Robot NAO},
pubstate = {published},
tppubtype = {conference}
}