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Binary decisions and emotional EEG based virtual assistant for speech impairments

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dc.contributor.author Halpe, Prashadi H.
dc.contributor.author Aththanayake, Probodha.S.
dc.contributor.author Haddela, Prasanna S.
dc.contributor.author Abeywardhana, Lakmini
dc.contributor.author Bogahawatte, Jinendra
dc.contributor.author Disanayaka, Sanduni
dc.date.accessioned 2023-02-17T04:03:48Z
dc.date.available 2023-02-17T04:03:48Z
dc.date.issued 2022
dc.identifier.citation Halpe Prashadi H.; Aththanayake Probodha.S.; Haddela Prasanna S.; Abeywardhana Lakmini; Bogahawatte Jinendra; Disanayaka Sanduni (2022), Binary decisions and emotional EEG based virtual assistant for speech impairments, 7th International Conference on Advances in Technology and Computing (ICATC 2022), Faculty of Computing and Technology, University of Kelaniya Sri Lanka. Page 36 -40. en_US
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/25976
dc.description.abstract The potential for brain computer intervention to provide effective and exciting technology for persons with impairments is growing because of the constant advancements in information technology. To help those who have difficulty communicating in a high school environment, our research will develop a wearable assistive device called SPEAK. It is a compact, portable equipment that is lightweight and simple to use. It comes with the Muse 2 headband and a deep learning based assistance program that operates on a mobile device. Sometimes people are unable to communicate vocally for a variety of reasons, yet their minds (brains) nonetheless speak normally. This approach would be really helpful and perfectly acceptable to help such mute individuals who are unable to communicate. This research puts forth the effort to detect and collect the frequency ranges of two significant analytical components that have been particularly chosen, such as binary decision yes/no analysis and emotional analysis. The examined frequencies are compared to the freshly emerging brain signal excitements in order to recognize and comprehend the phrases in accordance with the relevant brain signal. The virtual assistant produces voice for the muted person whenever a word is recognized from a brain signal and is transformed into speech sound. en_US
dc.publisher Faculty of Computing and Technology, University of Kelaniya Sri Lanka en_US
dc.subject Yes / No Binary decision, Emotional Analysis, EEG, BCI en_US
dc.title Binary decisions and emotional EEG based virtual assistant for speech impairments en_US


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