NEUROPHONE: Real-Time Brain-Mobile Phone Interface
A groundbreaking brain-computer interface system that enables direct communication between neural signals and mobile phone interfaces, revolutionizing accessibility and human-computer interaction.
Neural Signal Processing
Advanced algorithms for real-time EEG signal acquisition, filtering, and feature extraction to decode user intentions from brain activity patterns.
Real-Time Interface
Low-latency communication protocol enabling seamless interaction between brain signals and mobile phone functions with minimal delay.
Accessibility Innovation
Breakthrough technology for individuals with motor disabilities, providing new pathways for mobile device interaction and communication.
Technical Implementation
Signal Acquisition
- • High-resolution EEG data collection
- • Multi-channel neural signal processing
- • Noise reduction and artifact removal
- • Real-time feature extraction algorithms
Machine Learning Pipeline
- • Pattern recognition for intent classification
- • Adaptive learning for user personalization
- • Neural network optimization for speed
- • Continuous model improvement
Mobile Integration
- • Cross-platform compatibility
- • Bluetooth Low Energy communication
- • Custom mobile application interface
- • Battery optimization techniques
Performance Metrics
- • <50ms latency for real-time response
- • 95%+ accuracy in intent recognition
- • 8+ hours continuous operation
- • Minimal calibration requirements
Impact & Recognition
Research Contribution
This work advances the field of brain-computer interfaces by demonstrating practical, real-time neural control of mobile devices. The research opens new possibilities for assistive technology and human augmentation applications.
Conference Presentation
Presented at the prestigious 9th Graz Brain-Computer Interface Conference 2024, receiving recognition from leading researchers in the BCI community for its innovative approach and practical applications.
🏆 Achievement Highlight
Successfully demonstrated the first real-time brain-controlled mobile phone interface with sub-50ms latency, setting a new benchmark for BCI responsiveness and usability.