This project explores the application of Natural Language Processing (NLP) and Large Language Model (LLM) techniques to differentiate between cognitive states, specifically Normal Reading (NR) and Task-Specific Reading (TSR).
Neural Lock adds a fail-safe, non-authoritative human-state gate to Bitcoin custody, using local physiological and behavioural signals to reduce coercion and impaired spending without replacing cryptographic control.
Final Year Project: A Graph Signal Processing Approach to EEG-based Attention Detection.
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