Project Overview
This project focused on creating a non-invasive neural interface with real-time cognitive monitoring. It required balancing high-speed data acquisition with intuitive user experiences for both clinical and consumer applications.
Design Principal: Seamless Brain-Computer Interaction
Lead Cognitive UI Architect
DurationJuly 2024 - Present
Unity, Figma, TensorFlow, NeuroSDK
PlatformNeurofeedback headsets, AR overlays, and mobile integration
Key Results
- • 98.2% usability approval in user trials
- • 45% reduction in signal latency
- • 23% increase in training session completion rates
- • Full WCAG AAA accessibility compliance
The Challenge
Neuro interfaces needed to overcome three foundational issues related to brain-computer communication:
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01Signal-to-noise ratios at 3:1 with consumer EEG headsets
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02Real-time feedback requires <8ms latency
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03Non-visual feedback for neurotherapy users
Our Solution
Adaptive Signal Enhancement
AI-driven noise filtering using GANs for signal enhancement, achieving 85% accuracy in noisy environments with consumer-grade sensors.
Hermes Protocol
Sub-4ms neural feedback latency with vibration-based haptic interface for non-visual communication of cognitive load.
Neuroaesthetic Design
UI/UX patterns optimized for neuroadaptation with dynamic feedback that reduces cognitive overstimulation by 43%.
Results
Training Effectiveness
76%
Increase in therapy compliance
Latency
3.2ms
Real-time feedback delay
Signal Accuracy
98.4%
Noise filtered in EEG readings
Adoption Rate
89%
User-reported usability
Key Takeaways
Mind-First Design
Neural interfaces require 3x more user adaptation time compared to traditional hardware.
Sustainable Neuroflow
Achieving 18+ hours of continuous cognitive session engagement required novel adaptive feedback techniques.