2D affective space model (ASM) for detecting autistic children
There are many research works have been done on autism cases using brain imaging techniques. In this paper, the Electroencephalogram (EEG) was used to understand and analyze the functionality of the brain to identify or detect brain disorder for autism in term of motor imitation. Thus, the portabili...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2011
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| Online Access: | http://irep.iium.edu.my/9657/ http://irep.iium.edu.my/9657/1/9657.pdf |
| _version_ | 1848777143375364096 |
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| author | Razali, Najwani Abdul Rahman, Abdul Wahab |
| author_facet | Razali, Najwani Abdul Rahman, Abdul Wahab |
| author_sort | Razali, Najwani |
| building | IIUM Repository |
| collection | Online Access |
| description | There are many research works have been done on autism cases using brain imaging techniques. In this paper, the Electroencephalogram (EEG) was used to understand and analyze the functionality of the brain to identify or detect brain disorder for autism in term of motor imitation. Thus, the portability and affordability of the EEG equipment makes it a better choice in comparison with other brain imaging device such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET) and megnetoencephalography (MEG). Data collection consists of both autistic and normal children with the total of 6 children for each group. All subjects were asked to clinch their hand by following video stimuli which presented in 1 minute time. Gaussian mixture model was used as a method of feature extraction for analyzing the brain signals in frequency domain. Then, the extraction data were classified using multilayer perceptron (MLP). According to the verification result, the percentage of discriminating between both groups is up to 85% in average by using k-fold validation |
| first_indexed | 2025-11-14T14:41:18Z |
| format | Proceeding Paper |
| id | iium-9657 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:41:18Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-96572020-12-16T16:09:28Z http://irep.iium.edu.my/9657/ 2D affective space model (ASM) for detecting autistic children Razali, Najwani Abdul Rahman, Abdul Wahab QA75 Electronic computers. Computer science There are many research works have been done on autism cases using brain imaging techniques. In this paper, the Electroencephalogram (EEG) was used to understand and analyze the functionality of the brain to identify or detect brain disorder for autism in term of motor imitation. Thus, the portability and affordability of the EEG equipment makes it a better choice in comparison with other brain imaging device such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET) and megnetoencephalography (MEG). Data collection consists of both autistic and normal children with the total of 6 children for each group. All subjects were asked to clinch their hand by following video stimuli which presented in 1 minute time. Gaussian mixture model was used as a method of feature extraction for analyzing the brain signals in frequency domain. Then, the extraction data were classified using multilayer perceptron (MLP). According to the verification result, the percentage of discriminating between both groups is up to 85% in average by using k-fold validation 2011-06-14 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/9657/1/9657.pdf Razali, Najwani and Abdul Rahman, Abdul Wahab (2011) 2D affective space model (ASM) for detecting autistic children. In: 2011 IEEE 15th International Symposium on Consumer Electronics (ISCE), 14-17 June 2011, Singapore. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5973888&tag=1 |
| spellingShingle | QA75 Electronic computers. Computer science Razali, Najwani Abdul Rahman, Abdul Wahab 2D affective space model (ASM) for detecting autistic children |
| title | 2D affective space model (ASM) for detecting autistic children |
| title_full | 2D affective space model (ASM) for detecting autistic children |
| title_fullStr | 2D affective space model (ASM) for detecting autistic children |
| title_full_unstemmed | 2D affective space model (ASM) for detecting autistic children |
| title_short | 2D affective space model (ASM) for detecting autistic children |
| title_sort | 2d affective space model (asm) for detecting autistic children |
| topic | QA75 Electronic computers. Computer science |
| url | http://irep.iium.edu.my/9657/ http://irep.iium.edu.my/9657/ http://irep.iium.edu.my/9657/1/9657.pdf |