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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | BRAINWAVES DECODER: ENABLING AUTISM SUPPORT THROUGH EEG SIGNALS |
| Authors Name: | Linga Jothi K , Subbulakshmi T C |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_217705
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| Published Paper Id: | IJNRD2404229 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Autism Spectrum Disorder exhibits interaction disorders and abnormal restrictive and repetitive behaviors. According to the CDC, around 1 in 36 children in the US has been diagnosed with Autism. Around 75 Million people have AUTISM SPECTRUM DISORDER (Autism Spectrum Disorder), which is 1% of the world population. The majority of autistic individuals struggle with social contact, responding to others, and using interaction to demonstrate things to others or to be sociable. They also frequently have communication delay issues.In order to overcome this we have used EEG EEG-based brain-computer interface to enable autistic people to communicate with the outside world by interpreting EEG signals of their brains and interacting with the people. We hope to enable a brain typing system means converting their thoughts to text form.In order to overcome,this research presents a novel approach utilizing a hybrid architecture comprising CNN and RNN for feature extraction from EEG motor imagery data.The proposed model is trained and evaluated on a comprehensive dataset comprising EEG recordings from Autism patients.Therefore analysing their intents it could be a assistance for both autism and disabled people.Therefore in near future,this might be a promising strategy with potential application in neurology and healthcare. |
| Keywords: | Autism,Electroencephalogram,convolutional neural network,Recurrent neural network, Disabled people |
| Cite Article: | "BRAINWAVES DECODER: ENABLING AUTISM SUPPORT THROUGH EEG SIGNALS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.c1-c10, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404229.pdf |
| Downloads: | 00037 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404229 Registration ID: 217705 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: c1-c10 Country: Thoothukudi, Tamilnadu, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404229 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404229 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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