@conference{Shamsuddin2015349,
title = {Telerehabilitation Service with a Robot for Autism Intervention},
author = {S Shamsuddin and H Yussof and S Mohamed and F A Hanapiah and H A Ainudin},
editor = {Miskon M F Yussof H.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962815885&doi=10.1016%2fj.procs.2015.12.306&partnerID=40&md5=4a12a2e573a30ee0d1e87c85bee226d7},
doi = {10.1016/j.procs.2015.12.306},
issn = {18770509},
year = {2015},
date = {2015-01-01},
journal = {Procedia Computer Science},
volume = {76},
pages = {349-354},
publisher = {Elsevier B.V.},
abstract = {Though studies on robot-mediated intervention for children with autism have gained momentum in recent years, not much work has been done to help therapists to have on-line access to robot programs. Telerehabilitation is an efficient solution to overcome barriers of access, remote locations, lack of autism therapists and cost in the delivery of rehabilitation services. In this study, a telerehabilitation system is developed to help therapists to concentrate fully on the intervention and not in robot programming. Robot scenarios are created based on consultation with clinicians and therapists and are available in the system via a website, with user-friendly graphical user interface (GUI). A survey with 15 therapists was carried out to get feedback on the system's usability. 80% of therapists agree that their overall first-time experience in using the telerehabilitation website was good.},
note = {cited By 11},
keywords = {Anthropomorphic Robots, Autism Intervention, Autism Spectrum Disorders, Children with Autism, Diseases, Graphical User Interfaces, Humanoid Robot, Intelligent Control, Rehabilitation Robotics, Rehabilitation Services, Robotics, Robots, Smart Sensors, Telerehabilitation, User Interfaces, Web-Based},
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}
}

@conference{Jiar2010171,
title = {Interactive cognitive assessment and training support system for special children},
author = {Y K Jiar and E Supriyanto and H Satria and T M Kuan and Y E Han},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952650975&partnerID=40&md5=a524a921e3cd51ca76ef2d1d2dc818db},
isbn = {9789549260021},
year = {2010},
date = {2010-01-01},
journal = {9th WSEAS International Conference on Telecommunications and Informatics, TELE-INFO '10},
pages = {171-175},
abstract = {Special children are children who experience learning difficulties. Special children include those under Down syndrome, autism, global delay, epilepsy and slow learner. In this study, the special children are referring to children with Down syndrome. Early intervention program is a systematic program with therapy, exercises, and activities which designed to help special children. Cognitive development is the construction of thought processes, including thinking, problem solving, concept understanding, and decision-making, from childhood through adolescence to adulthood. It is one of the most important skills that have to be developed for Down syndrome children. This study is focused mainly on development of the cognitive ability support system. The aim is to help them improving their logical thinking and memory skills. In brief, this study is about the development of software system for the cognitive ability. This includes the implementation of the radio frequency identification (RFID) reader and graphical user interface. The complete system is then test to ensure the accuracy of result, user acceptability and reliability of the system. The results show that the system can generate result in graphical form and training for improving the cognitive ability of the children. In conclusion, the system can be used in order to help trainers or parents to improve the cognitive ability of children with Down syndrome.},
note = {cited By 1},
keywords = {Assessment and Training, Cognitive Ability, Cryptography, Decision Making, Early Intervention, Education, Graphical User Interfaces, Information Science, Radio Frequency Identification (RFID), Rating Scale, RFID, Software Design, Special Children, Support System, Telecommunication},
pubstate = {published},
tppubtype = {conference}
}