Paper Key : IRJ************241
Author: S.gideon Paul,P Nisha Priya M.e., (ph.d.)
Date Published: 04 Oct 2023
Abstract
Brain memory capture is a futuristic technology that records brain waves and signals, aiming to convert human memories into hardware memory for use in AI robots. These robots can then mirror human behavior in multiple scenarios. Advanced signal sensing and enhancement technology are used to collect precise EEG signals, offering insights into cognitive states during various tasks. EEG-based Brain-Computer Interface (BCI) enables control of multiple AI robots simultaneously and holds potential for capturing human thoughts and even dreams. Recent advancements in neuroscience and technology, such as wearable sensors and machine learning, have driven interest in EEG-based BCIs for healthcare and translational applications. EEG, which records brain activity non-invasively, is a valuable tool for characterizing brain function in various contexts.