Project Cognis
Advanced EEG Mood Detection Platform
Project Cognis is an advanced EEG-based mood detection platform that revolutionizes mental health monitoring and therapeutic intervention. Our system takes sample EEG data from brain sensors and uses sophisticated machine learning algorithms to detect and analyze mood patterns in real-time.
How It Works
Captures neural signals through non-invasive EEG sensors placed on the scalp
Processes raw brainwave data using advanced signal processing algorithms
Extracts frequency features from different brainwave bands (Alpha, Beta, Theta, Gamma, Delta)
Applies machine learning models to classify mood states with 94.7% accuracy
Generates comprehensive graphs and visualizations for medical professionals
Current Development
Live data tracking integration for continuous monitoring
VR environment adaptation based on real-time mood fluctuations
Dynamic visual therapy where different environments play as mood changes
Immersive therapeutic experiences for anxiety, depression, and ADHD treatment
For Medical Professionals
Our platform provides healthcare providers with detailed mood analytics, patient progress tracking, and objective mental health assessments. The system generates comprehensive reports showing mood patterns over time, helping clinicians make informed treatment decisions and monitor therapeutic effectiveness.