I PRESENTED BY V.GAYATHRI ECE - III YEAR A.SAMSUL DANIA ECE – III YEAR
INTRODUCTION What is BCI? Technology that enables direct communication between the brain and external devices. Types of BCIs : Invasive, Semi-Invasive, Non-Invasive Why Non-Invasive? Safe, accessible, and widely applicable .
Signal Acquisition : Tools: EEG (Electroencephalography), fNIRS (Functional Near-Infrared Spectroscopy). Process: Captures electrical activity or blood flow in the brain. BCI WORKING
4 Signal Processing : Data Cleaning: Noise removal. Decoding: Machine learning algorithms convert signals into commands. Output : Controls prosthetics, communication devices, or games.
ADVANCEMENTS Hardware: Lightweight, portable EEG devices. Improved signal resolution. Software: AI algorithms for better signal decoding. Faster real-time processing. Case Study: Example: Brain-controlled wheelchair technology.
CHALLENGES Technical: Low signal-to-noise ratio Latency in responses Limited accuracy Ethical: Data privacy concerns Risks of misuse of neural data Accessibility: High costs of advanced systems .