Improving EEG based brain computer interface emotion detection with EKO ALSTM model

Improving EEG based brain computer interface emotion detection with EKO ALSTM model

Abstract Decoding signals from the CNS brain activity is done by a computer-based communication device called a BCI. In contrast, the system is considered compelling communication equipment enabling command, communication, and action without using neuromuscular or muscle channels. Various techniques...

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Bibliographic Details
Main Authors: R. Kishore Kanna, Preety Shoran, Meenakshi Yadav, Mohammad Nadeem Ahmed, Shrikant Burje, Garima Shukla, Anurag Sinha, Mohammad Rashid Hussain, Saifullah Khalid
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Brain–computer interface (BCI)
Emotion detection
Electroencephalogram (EEG)
Enhanced kookaburra optimized adjustable long short term memory (EKO-ALSTM)
Discrete wavelet transform (DWT)
Online Access:https://doi.org/10.1038/s41598-025-07438-z
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https://doi.org/10.1038/s41598-025-07438-z

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