Eeg based smart emotion recognition using meta heuristic optimization and hybrid deep learning techniques
M Karthiga, E Suganya, S Sountharrajan, Balamurugan Balusamy, Shitharth Selvarajan · 2024
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Description
Karthiga M and co-authors read feelings from brain waves with a tuned deep model. Their 2024 paper deals with passive brain-computer interfaces, where sorting joy, calm, and gloom from EEG is prized and hard. Cleanup strips muscle and eye noise, then splits the signal into classic wave bands. A hybrid optimizer, crossing bee colony and grey wolf search, picks the sharpest features.
A convolutional model then sorts the three moods on two public sets. The hybrid build claimed near-perfect scores on both sets, past plain and mixed rivals. The authors pitch the stack for smart emotion tools, though such heights invite outside checks.
Catalog record
| CREATOR | M Karthiga, E Suganya, S Sountharrajan, Balamurugan Balusamy, Shitharth Selvarajan |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 114 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |