BRAINWAVES DECODER: ENABLING AUTISM SUPPORT THROUGH EEG SIGNALS

Registration ID: IJNRD_217705

Published ID: IJNRD2404229

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Linga Jothi K, Subbulakshmi T C

Autism,Electroencephalogram,convolutional neural network,Recurrent neural network, Disabled people

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.

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Linga Jothi K & Subbulakshmi T C (April-2024). BRAINWAVES DECODER: ENABLING AUTISM SUPPORT THROUGH EEG SIGNALS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), c1-c10. https://ijnrd.org/papers/IJNRD2404229.pdf

Volume 9 Issue 4, April-2024

Pages : c1-c10

Paper Reg. ID: IJNRD_217705

Published Paper Id: IJNRD2404229

Research Area: Information Technology 

Author Type: Indian Author

Country: Thoothukudi, Tamilnadu, India

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