List of Publications
There are numbers of autism related research can be found in Malaysia that generally focus on the ASD, learning disorder, communication aids, therapy and many more. The list of publications is provided below:
- Click this to search using keyword determined by the user.
- It will lead to a new web page with a text search box.
- Type your keyword in the search box
- Click on Keyword to search for any publication. Bigger words indicate the most used tags and smaller words indicate the least used.
- Click on dropdown buttons to choose any years, types of publications or authors of your choice.
- Click on underlined words in the publication detail to view more information.
2019 |
Ishak, N I; Yusof, H M; Ramlee, M R H; Sidek, S N; Rusli, N Modules of Interaction for ASD Children Using Rero Robot (Humanoid) Conference Institute of Electrical and Electronics Engineers Inc., 2019, ISBN: 9781728129716, (cited By 0). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Commercial Robots, Developmental Disorders, Early Intervention, Human Interactions, Human Robot Interaction, Interaction Mediums, Interaction Modules, Patient Rehabilitation, Robotics, Robots @conference{Ishak2019, title = {Modules of Interaction for ASD Children Using Rero Robot (Humanoid)}, author = {N I Ishak and H M Yusof and M R H Ramlee and S N Sidek and N Rusli}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078867258&doi=10.1109%2fICOM47790.2019.8952038&partnerID=40&md5=8eadb9e644d78f52f44a76a6f57c8de4}, doi = {10.1109/ICOM47790.2019.8952038}, isbn = {9781728129716}, year = {2019}, date = {2019-01-01}, journal = {2019 7th International Conference on Mechatronics Engineering, ICOM 2019}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {Autism Spectrum Disorder (ASD) is a neurological and developmental disorder that affects one's ability to understand social cues and to communicate. As it begins early in childhood and can last throughout a person's life, it is important to have an early intervention and rehabilitation. Previous research has shown that robotic platforms helped and encouraged positive outcome in ASD children rehabilitation. Early interventions through human-robot interaction (HRI) have the potential when used to improve communication and social skills of the children. In this research, a new framework has been developed featuring a robot and human interaction modules. A commercial robot, Rero has been adopted and used as the interaction medium. This robot has been selected based on its reconfigurable capability and ability to be developed into many forms. It is also mobile, speech enabled, controllable, programmable, and attractive. Five modules of interaction have been developed and approval from special education teachers and therapists has been sought. The modules are created to help the children to be able to imitate actions, follow instructions, name objects, as well as to focus and match colours. Observations from the experiment shows that the children enjoyed the interaction modules with a median of more than 70% of scores and were well engaged with the robots with certain type of modules. © 2019 IEEE.}, note = {cited By 0}, keywords = {Autism Spectrum Disorders, Commercial Robots, Developmental Disorders, Early Intervention, Human Interactions, Human Robot Interaction, Interaction Mediums, Interaction Modules, Patient Rehabilitation, Robotics, Robots}, pubstate = {published}, tppubtype = {conference} } Autism Spectrum Disorder (ASD) is a neurological and developmental disorder that affects one's ability to understand social cues and to communicate. As it begins early in childhood and can last throughout a person's life, it is important to have an early intervention and rehabilitation. Previous research has shown that robotic platforms helped and encouraged positive outcome in ASD children rehabilitation. Early interventions through human-robot interaction (HRI) have the potential when used to improve communication and social skills of the children. In this research, a new framework has been developed featuring a robot and human interaction modules. A commercial robot, Rero has been adopted and used as the interaction medium. This robot has been selected based on its reconfigurable capability and ability to be developed into many forms. It is also mobile, speech enabled, controllable, programmable, and attractive. Five modules of interaction have been developed and approval from special education teachers and therapists has been sought. The modules are created to help the children to be able to imitate actions, follow instructions, name objects, as well as to focus and match colours. Observations from the experiment shows that the children enjoyed the interaction modules with a median of more than 70% of scores and were well engaged with the robots with certain type of modules. © 2019 IEEE. |
Ishak, N I; Yusof, H.Md.; Sidek, S N; Rusli, N Robot selection in robotic intervention for ASD children Conference Institute of Electrical and Electronics Engineers Inc., 2019, ISBN: 9781538624715, (cited By 1). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Biomedical Engineering, Commercial Robots, Communication Skills, Early Intervention, Human Robot Interaction, Important Features, Recent Researches, Robotics, Social Interactions @conference{Ishak2019156, title = {Robot selection in robotic intervention for ASD children}, author = {N I Ishak and H.Md. Yusof and S N Sidek and N Rusli}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062769148&doi=10.1109%2fIECBES.2018.8626679&partnerID=40&md5=4ab38d1996ff4c48913864199d814cc6}, doi = {10.1109/IECBES.2018.8626679}, isbn = {9781538624715}, year = {2019}, date = {2019-01-01}, journal = {2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings}, pages = {156-160}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {This paper explains on the selection of a robot that is suitable for engagement with Autism Spectrum Disorder (ASD) children. Many robots were being developed to help these children to improve their behavior, communication skills, social interaction, joint attention and sensitivity. Recent researches done shown that a commercialize robot is better in early intervention therapy for the children because of its robustness and easily can be programmed by the parents and teachers. Instead, the physical appearance of the robot also plays an important feature for robot selection. Comparison studies were made between prototype robots that currently used in Human-Robot Interaction (HRI) and commercial robot. As a result, we proposed to have a commercial robot that is robust, simple, economical, durable and flexible to be changed to any desired form as our medium of interactions. © 2018 IEEE}, note = {cited By 1}, keywords = {Autism Spectrum Disorders, Biomedical Engineering, Commercial Robots, Communication Skills, Early Intervention, Human Robot Interaction, Important Features, Recent Researches, Robotics, Social Interactions}, pubstate = {published}, tppubtype = {conference} } This paper explains on the selection of a robot that is suitable for engagement with Autism Spectrum Disorder (ASD) children. Many robots were being developed to help these children to improve their behavior, communication skills, social interaction, joint attention and sensitivity. Recent researches done shown that a commercialize robot is better in early intervention therapy for the children because of its robustness and easily can be programmed by the parents and teachers. Instead, the physical appearance of the robot also plays an important feature for robot selection. Comparison studies were made between prototype robots that currently used in Human-Robot Interaction (HRI) and commercial robot. As a result, we proposed to have a commercial robot that is robust, simple, economical, durable and flexible to be changed to any desired form as our medium of interactions. © 2018 IEEE |
2018 |
Ibrahim, Zuraida; Alias, Maizam A Review on Using Assistive Technology to Enhance Social Skills Competence Among Children with Autism Spectrum Disorder (ASD) Journal Article ADVANCED SCIENCE LETTERS, 24 (6), pp. 4250-4254, 2018, ISSN: 1936-6612, (International Conference on Science, Engineering, Management and Social Sciences (ICSEMSS), Univ Teknologi Malaysia, Johor Bahru, MALAYSIA, OCT 06-08, 2016). Abstract | Links | BibTeX | Tags: Assistive Technology, Autism Spectrum Disorders, Early Intervention, Social Skills Competence @article{ISI:000444996500092, title = {A Review on Using Assistive Technology to Enhance Social Skills Competence Among Children with Autism Spectrum Disorder (ASD)}, author = {Zuraida Ibrahim and Maizam Alias}, doi = {10.1166/asl.2018.11582}, issn = {1936-6612}, year = {2018}, date = {2018-06-01}, journal = {ADVANCED SCIENCE LETTERS}, volume = {24}, number = {6}, pages = {4250-4254}, publisher = {AMER SCIENTIFIC PUBLISHERS}, address = {26650 THE OLD RD, STE 208, VALENCIA, CA 91381-0751 USA}, organization = {Univ Teknologi Malaysia, Int Student Soc; Int Students Ctr; Univ Teknologi Malaysia, Inst Sultan Iskandar}, abstract = {This paper is intended to explore published reports, journals and articles concerning the implementation of Special Education in Malaysia. The literature review targets the Malaysian education system, focusing on students with special education need (SEN); in particular students with Autism Spectrum Disorder (ASD) in an attempt to describe the current state of understanding on current issues and gaps that lies within them. Specifically, the objectives of this review are to (a) identify effective intervention for ASD children, (b) identify appropriate domains for social skills competence, and (c) to make suggestions for future research. A narrative review was conducted on available literature to provide the explanations on existing knowledge related to the Malaysian education system, special education, ASD, teaching and learning approach for ASD children and effective intervention for ASD children. The findings from the narrative review indicate that inadequate social interaction is the main factor contributing to social skills deficit in ASD children in special education. The skills deficit consequently leads to problems with educators, peers, incompetence for independent living and lack of acceptance by society. The majority of literature makes recommendations on the implementation of assistive technology for skills enhancement. Furthermore, social interaction, social communication, social emotional and social behaviour were identified as domains for social skills competence in ASD children. Overall, the finding from the narrative review provides some support for conducting future research on the implementation of assistive technology in early intervention to enhance the teaching and learning process of social skills competence among ASD children.}, note = {International Conference on Science, Engineering, Management and Social Sciences (ICSEMSS), Univ Teknologi Malaysia, Johor Bahru, MALAYSIA, OCT 06-08, 2016}, keywords = {Assistive Technology, Autism Spectrum Disorders, Early Intervention, Social Skills Competence}, pubstate = {published}, tppubtype = {article} } This paper is intended to explore published reports, journals and articles concerning the implementation of Special Education in Malaysia. The literature review targets the Malaysian education system, focusing on students with special education need (SEN); in particular students with Autism Spectrum Disorder (ASD) in an attempt to describe the current state of understanding on current issues and gaps that lies within them. Specifically, the objectives of this review are to (a) identify effective intervention for ASD children, (b) identify appropriate domains for social skills competence, and (c) to make suggestions for future research. A narrative review was conducted on available literature to provide the explanations on existing knowledge related to the Malaysian education system, special education, ASD, teaching and learning approach for ASD children and effective intervention for ASD children. The findings from the narrative review indicate that inadequate social interaction is the main factor contributing to social skills deficit in ASD children in special education. The skills deficit consequently leads to problems with educators, peers, incompetence for independent living and lack of acceptance by society. The majority of literature makes recommendations on the implementation of assistive technology for skills enhancement. Furthermore, social interaction, social communication, social emotional and social behaviour were identified as domains for social skills competence in ASD children. Overall, the finding from the narrative review provides some support for conducting future research on the implementation of assistive technology in early intervention to enhance the teaching and learning process of social skills competence among ASD children. |
2013 |
Hashim, H; Yussof, H; Hanapiah, F A; Shamsuddin, S; Ismail, L; Malik, N A Robot-assisted to elicit behaviors for autism screening Journal Article Applied Mechanics and Materials, 393 , pp. 567-572, 2013, ISSN: 16609336, (cited By 2). Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Autism Spectrum Disorders, Diseases, Early Intervention, Humanoid Robot, Humanoid Robot NAO, Individual Behaviour, Intervention, Mechanical Engineering, Program Diagnostics, Quantitative Measurement, Robotics, Screening Process @article{Hashim2013567, title = {Robot-assisted to elicit behaviors for autism screening}, author = {H Hashim and H Yussof and F A Hanapiah and S Shamsuddin and L Ismail and N A Malik}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886257860&doi=10.4028%2fwww.scientific.net%2fAMM.393.567&partnerID=40&md5=9ef0b91be1f79ae1771901b04e271636}, doi = {10.4028/www.scientific.net/AMM.393.567}, issn = {16609336}, year = {2013}, date = {2013-01-01}, journal = {Applied Mechanics and Materials}, volume = {393}, pages = {567-572}, abstract = {Early screening and diagnosis of Autism spectrums is essential to determine the best means of early intervention program. Since there is no sign in biological for autism, screening and assessment must focus on the behavioral deficits. Somehow screening is not a diagnosis, but a filter that picks out children for subsequent assessment. The aim of this paper is to propose and to ignite discussion concerning robotic assisted in autism screening process to enable early diagnosis and intervention. This process combines (a) selection of an autism screening tool (b) refinement of screening subscales and (c) integration of subscales with robot action. We use Gilliam Autism Rating Scale-2 (GARS-2) inversely integrated with humanoid robot Nao to produce a counter action to elicit individual behaviours for screening and diagnosis purposes. In extracting of GARS-2, we had considered the limitation and sensitivity when a robot tries to assist in the process of screening and diagnosis. Integrating robotics into innovative treatments however highlighted the need for additional rigorous empirical studies with quantitative measurement. © (2013) Trans Tech Publications, Switzerland.}, note = {cited By 2}, keywords = {Anthropomorphic Robots, Autism Spectrum Disorders, Diseases, Early Intervention, Humanoid Robot, Humanoid Robot NAO, Individual Behaviour, Intervention, Mechanical Engineering, Program Diagnostics, Quantitative Measurement, Robotics, Screening Process}, pubstate = {published}, tppubtype = {article} } Early screening and diagnosis of Autism spectrums is essential to determine the best means of early intervention program. Since there is no sign in biological for autism, screening and assessment must focus on the behavioral deficits. Somehow screening is not a diagnosis, but a filter that picks out children for subsequent assessment. The aim of this paper is to propose and to ignite discussion concerning robotic assisted in autism screening process to enable early diagnosis and intervention. This process combines (a) selection of an autism screening tool (b) refinement of screening subscales and (c) integration of subscales with robot action. We use Gilliam Autism Rating Scale-2 (GARS-2) inversely integrated with humanoid robot Nao to produce a counter action to elicit individual behaviours for screening and diagnosis purposes. In extracting of GARS-2, we had considered the limitation and sensitivity when a robot tries to assist in the process of screening and diagnosis. Integrating robotics into innovative treatments however highlighted the need for additional rigorous empirical studies with quantitative measurement. © (2013) Trans Tech Publications, Switzerland. |
2012 |
Shams, W K; Wahab, A; Qidwai, U A Fuzzy model for detection and estimation of the degree of autism spectrum disorder Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7666 LNCS (PART 4), pp. 372-379, 2012, ISSN: 03029743, (cited By 2). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Classification (of information), Data Processing, Detection and Estimation, Diseases, Early Intervention, EEG Signals, Electrophysiology, Fuzzy Approach, Fuzzy Modeling, Spectrum Energy, Subtractive Clustering, Time-Frequency Transformation, Treatment Process @article{Shams2012372, title = {Fuzzy model for detection and estimation of the degree of autism spectrum disorder}, author = {W K Shams and A Wahab and U A Qidwai}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869038189&doi=10.1007%2f978-3-642-34478-7_46&partnerID=40&md5=98929aba468010a02f652994b0da2a54}, doi = {10.1007/978-3-642-34478-7_46}, issn = {03029743}, year = {2012}, date = {2012-01-01}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {7666 LNCS}, number = {PART 4}, pages = {372-379}, abstract = {Early detection of autism spectrum disorder (ASD) is of great significance for early intervention. Besides, knowing the degree of severity in ASD and how it changes with the intervention is imperative for the treatment process. This study proposes Takagi- Sugeno-Kang (TSK) fuzzy modeling approach that is based on subtractive clustering to classify autism spectrum disorder and to estimate the degree of prognosis. The study has been carried out using Electroencephalography (EEG) signal on two groups of control and ASD children age-matched between seven to nine years old. EEG signals are quantized to temporal-time domain using Short Time Frequency Transformation (STFT). Spectrum energy is extracted as features for alpha band. The proposed system is modeled to estimate the degree in which subject is autistic, normal or uncertain. The results show accuracy in range (70-97) % when using fuzzy model .Also this system is modeled to generate crisp decision; the results show accuracy in the range (80-100) %. The proposed model can be adapted to help psychiatrist for diagnosis and intervention process. © 2012 Springer-Verlag.}, note = {cited By 2}, keywords = {Autism Spectrum Disorders, Classification (of information), Data Processing, Detection and Estimation, Diseases, Early Intervention, EEG Signals, Electrophysiology, Fuzzy Approach, Fuzzy Modeling, Spectrum Energy, Subtractive Clustering, Time-Frequency Transformation, Treatment Process}, pubstate = {published}, tppubtype = {article} } Early detection of autism spectrum disorder (ASD) is of great significance for early intervention. Besides, knowing the degree of severity in ASD and how it changes with the intervention is imperative for the treatment process. This study proposes Takagi- Sugeno-Kang (TSK) fuzzy modeling approach that is based on subtractive clustering to classify autism spectrum disorder and to estimate the degree of prognosis. The study has been carried out using Electroencephalography (EEG) signal on two groups of control and ASD children age-matched between seven to nine years old. EEG signals are quantized to temporal-time domain using Short Time Frequency Transformation (STFT). Spectrum energy is extracted as features for alpha band. The proposed system is modeled to estimate the degree in which subject is autistic, normal or uncertain. The results show accuracy in range (70-97) % when using fuzzy model .Also this system is modeled to generate crisp decision; the results show accuracy in the range (80-100) %. The proposed model can be adapted to help psychiatrist for diagnosis and intervention process. © 2012 Springer-Verlag. |
2010 |
Razali, N; Rahman, A W A Motor movement for autism spectrum disorder (ASD) detection Conference 2010, ISBN: 9789791948913, (cited By 3). Abstract | Links | BibTeX | Tags: Autism, Autism Spectrum Disorders, Autistic Children, Children with Autism, Data Collection, Diseases, Early Detection, Early Intervention, Finger Tapping, Gaussian Mixture Model, Information Technology, Motor Movements, Multi Layer Perceptron, Multilayer Perceptron (MLP), Multilayers @conference{Razali2010, title = {Motor movement for autism spectrum disorder (ASD) detection}, author = {N Razali and A W A Rahman}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052346152&doi=10.1109%2fICT4M.2010.5971921&partnerID=40&md5=234cdd8f3906ad980ed163a1036215ee}, doi = {10.1109/ICT4M.2010.5971921}, isbn = {9789791948913}, year = {2010}, date = {2010-01-01}, journal = {Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World: ICT Connecting Cultures, ICT4M 2010}, pages = {E90-E95}, abstract = {In this paper, we are looking at the differences between autistic and normal children in term of fine motor movement. Previous findings have shown that there are differences between autistic children and normal children when performing a simple motor movement tasks. Imitating a finger tapping and clinching a hand are two examples of a simple motor movement tasks. Our study had adopted one of the video stimuli for clinching the hand from Brainmarkers. 6 selected autistic children and 6 selected normal children were involved in this study. The data collection is using EEG device and will be analyzed using Gaussian mixture model (GMM) and Multilayer perceptron (MLP) as classifier to discriminate between autistic and normal children. Experimental result shows the potential of verifying between autistic and normal children with accuracy of 92%. The potential of using these techniques to identify autistic children can help early detection for the purpose of early intervention. Moreover, the spectrums of the signals also present big differences between the two groups. © 2010 IEEE.}, note = {cited By 3}, keywords = {Autism, Autism Spectrum Disorders, Autistic Children, Children with Autism, Data Collection, Diseases, Early Detection, Early Intervention, Finger Tapping, Gaussian Mixture Model, Information Technology, Motor Movements, Multi Layer Perceptron, Multilayer Perceptron (MLP), Multilayers}, pubstate = {published}, tppubtype = {conference} } In this paper, we are looking at the differences between autistic and normal children in term of fine motor movement. Previous findings have shown that there are differences between autistic children and normal children when performing a simple motor movement tasks. Imitating a finger tapping and clinching a hand are two examples of a simple motor movement tasks. Our study had adopted one of the video stimuli for clinching the hand from Brainmarkers. 6 selected autistic children and 6 selected normal children were involved in this study. The data collection is using EEG device and will be analyzed using Gaussian mixture model (GMM) and Multilayer perceptron (MLP) as classifier to discriminate between autistic and normal children. Experimental result shows the potential of verifying between autistic and normal children with accuracy of 92%. The potential of using these techniques to identify autistic children can help early detection for the purpose of early intervention. Moreover, the spectrums of the signals also present big differences between the two groups. © 2010 IEEE. |
Kuan, T M; Supriyanto, E; Jiar, Y K; Han, Y E Development of an effective assessment and training support system for cognitive ability for special children Journal Article WSEAS Transactions on Computers, 9 (9), pp. 1022-1031, 2010, ISSN: 11092750, (cited By 0). Abstract | Links | BibTeX | Tags: Assessment and Training, Chromosomes, Cognitive Ability, Curricula, Early Intervention, Radio Frequency Identification (RFID), RFID, Special Children, Support System @article{Kuan20101022, title = {Development of an effective assessment and training support system for cognitive ability for special children}, author = {T M Kuan and E Supriyanto and Y K Jiar and Y E Han}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77958107712&partnerID=40&md5=2ec5c3ecbb54c2ebde0e55834dd2ae56}, issn = {11092750}, year = {2010}, date = {2010-01-01}, journal = {WSEAS Transactions on Computers}, volume = {9}, number = {9}, pages = {1022-1031}, abstract = {In definition, special children include children who are having Down syndrome, autism, global delay, epilepsy, slow learner and others. In this study, the special children are focused on children with Down syndrome. Down syndrome occurs due to an extra copy of chromosome 21 in the children's chromosome. Early intervention Program (EIP) is a systematic program with therapy, exercises, and activities which designed to help children especially special children. Cognitive development is the construction of thought processes, which is one of the most important skills that have to be developed for Down syndrome children in order to lead a normal life. This support system is focused mainly to help them improving their logical thinking and memory skills. This cognitive assessment and training support system utilizes the radio frequency identification (RFID) technology implemented in C Sharp programming language. The completed system was then tested and feedback was obtained from parents or trainers of Down syndrome children. The results show that the system can generate results in graphical form stably and training for improving the cognitive ability of the children is reliable based on global recognized curriculum. 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 0}, keywords = {Assessment and Training, Chromosomes, Cognitive Ability, Curricula, Early Intervention, Radio Frequency Identification (RFID), RFID, Special Children, Support System}, pubstate = {published}, tppubtype = {article} } In definition, special children include children who are having Down syndrome, autism, global delay, epilepsy, slow learner and others. In this study, the special children are focused on children with Down syndrome. Down syndrome occurs due to an extra copy of chromosome 21 in the children's chromosome. Early intervention Program (EIP) is a systematic program with therapy, exercises, and activities which designed to help children especially special children. Cognitive development is the construction of thought processes, which is one of the most important skills that have to be developed for Down syndrome children in order to lead a normal life. This support system is focused mainly to help them improving their logical thinking and memory skills. This cognitive assessment and training support system utilizes the radio frequency identification (RFID) technology implemented in C Sharp programming language. The completed system was then tested and feedback was obtained from parents or trainers of Down syndrome children. The results show that the system can generate results in graphical form stably and training for improving the cognitive ability of the children is reliable based on global recognized curriculum. In conclusion, the system can be used in order to help trainers or parents to improve the cognitive ability of children with Down syndrome. |
Jiar, Y K; Supriyanto, E; Satria, H; Kuan, T M; Han, Y E Interactive cognitive assessment and training support system for special children Conference 2010, ISBN: 9789549260021, (cited By 1). Abstract | Links | BibTeX | Tags: 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 @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} } 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. |