@conference{Samat2014,
title = {Development of face recognition algorithm for enhancement of social communication of robotic assistive autism therapy},
author = {M R A Samat and S Shamsuddin and M A Miskam and H Yussof},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922181743&doi=10.1109%2fMHS.2014.7006062&partnerID=40&md5=a995285772a99b9a81c11f49e0a94341},
doi = {10.1109/MHS.2014.7006062},
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 propose a face recognition method for tracking, detecting and recognizing the faces of children with Autism Spectrum Disorder (ASD) for robotic assistive therapy application. ASD is a brain developmental disorder that manifests itself through a person's behavior and social-communication skill [1]. Face recognition stage is an essential element in robotic assistive therapy since it is the first interaction step that occurs between autistic children and robot. The algorithm aims to encourage autistic children to interact and to capture their attention using a robot that recognizes their faces. This is to establish a beneficial training environment for autistic children before engaging further in the training module. © 2014 IEEE.},
note = {cited By 1},
keywords = {Algorithms, Autistic Children, Children with Autism, Developmental Disorders, Diseases, Essential Elements, Face Recognition, Face Recognition Algorithms, Robotics, Social Communications, Training Modules},
pubstate = {published},
tppubtype = {conference}
}

@conference{Ismail2011517,
title = {Face detection technique of Humanoid Robot NAO for application in robotic assistive therapy},
author = {L Ismail and S Shamsuddin and H Yussof and H Hashim and S Bahari and A Jaafar and I Zahari},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862067305&doi=10.1109%2fICCSCE.2011.6190580&partnerID=40&md5=954caf63c5c5f7f05062436598a32a91},
doi = {10.1109/ICCSCE.2011.6190580},
isbn = {9781457716423},
year = {2011},
date = {2011-01-01},
journal = {Proceedings - 2011 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2011},
pages = {517-521},
abstract = {This paper proposed a face detection method for tracking the faces of children with Autism Spectrum Disorder in a robotic assistive therapy. The face detection is a novel approach in robotic assistive therapy involving autistic children since it is believe that those children will positively react with high-end devices, gadget and cutting edge devices. The intention of tracking the autistic children's faces is to measure the concentration level of the children in social interaction and communication since everyone knows that those children are suffering from communication disabilities and deficits due to brain developmental disorder. Humanoid Robot Nao with 573.2mm height equipped with 2 internal cameras is utilized for this research. The face detection tools in choregraphe and telepathe based on Graphical User Interface (GUI) module is used in this study. The non-verbal interaction between humanoid robot and autistic children is recorded by using 2 internal cameras from the robot's head. The interaction is going to take about 30 minutes and supervised by occupational therapist and certified psychologist. The autistic children will be introduced to the Humanoid Robot Nao and their reaction will be recorded simultaneously while the robot is trying to track their faces. © 2011 IEEE.},
note = {cited By 14},
keywords = {Anthropomorphic Robots, Assistive, Autism Spectrum Disorders, Autistic Children, Cameras, Children with Autism, Communication, Concentration Levels, Control Systems, Cutting Edges, Detection Tools, Developmental Disorders, Diseases, Face Detection, Face Recognition, Graphical User Interfaces, Humanoid Robot, Robotics, Social Interactions},
pubstate = {published},
tppubtype = {conference}
}