Eric Fox & Joel Davel

Bio-Voltage Neural Interface

# Bio-Voltage Neural Interface **The Mechanics:** The Bio-Voltage Neural Interface is a standalone, Buchla-format module that integrates high-fidelity electromyography (EMG) and galvanic skin response (GSR) sensors into a wearable, ergonomic sleeve. Using dry-contact silver-chloride electrodes, the hardware captures micro-tensions and sympathetic nervous system fluctuations, converting these biometric signals into continuous, non-linear control voltages (CV). The module features an onboard DSP-based signal conditioner that maps biological input to Buchla’s signature 1.2V/octave or arbitrary voltage ranges, allowing performers to modulate wavefolding depth, timbre, and spatial positioning via physiological exertion rather than traditional tactile input. Data synchronization occurs through a proprietary low-latency wireless protocol, transmitting biometric telemetry to the Buchla 200e bus while simultaneously logging performance metadata to a secure, immutable ledger. This digital twin infrastructure allows users to store custom "Biometric Profiles"—preset mappings that translate specific physiological states into complex patch configurations—which can be traded or sold as high-value, cryptographically signed performance assets within a dedicated Buchla-ecosystem marketplace. **Utilitarian Value:** This architecture shifts the brand from a hardware manufacturer to a provider of bio-digital performance standards, unlocking a recurring revenue stream through the sale of performance-profile assets and wearable consumables. By commodifying the performer’s physiological output, Buchla creates an proprietary bridge between human biology and modular synthesis, effectively locking elite-tier sound designers and live performers into a high-margin, hardware-software ecosystem that renders third-party control interfaces obsolete. **Target Ecosystem:** Professional electronic experimentalists and avant-garde performance artists utilizing 200e modular systems for high-stakes, real-time stage environments.