Our Technology
7 prototype iterations. 35 testing sessions. 6 months of development.
Hardware
Custom 3D-printed PETG chassis housing an 8-channel OpenBCI Cyton board sampling at 250Hz. Eight gold cup electrodes maintain constant pressure across facial muscles, preventing signal loss in noisy environments. Final weight: ~420g.
Signal Processing
0.5-45Hz bandpass filtering with Independent Component Analysis (ICA) removes artifacts like eye blinks and jaw clenches. PCA-LDA dimensionality reduction compresses 256 features into 45 discriminative dimensions.
Machine Learning
CNN-LSTM architecture trained on 440 phoneme utterances, generating 3,220 training samples. Achieves 82% single-subject phoneme classification accuracy and 68% continuous speech accuracy.
Performance
Under 300ms end-to-end latency. Maintains signal quality across 2-hour sessions. LLM integration provides context-aware error correction for natural output.
Explore the Device
Interact with our 3D model to see VOCL's ergonomic design and electrode placement.
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Ergonomic Design
Custom 3D-printed PETG chassis optimized for comfort during extended wear sessions.
8-Channel Electrodes
Gold cup electrodes positioned at key facial muscle locations for optimal signal capture.
Lightweight
Final weight of ~420g ensures comfortable long-term use without fatigue.