Abstract
This disclosure details a physical, hardware-enclaved security architecture designed to prevent unauthorized, passive audio and visual data extraction from wearable computing platforms. The framework mechanically decouples micro-electromechanical systems (MEMS) microphone arrays and camera sensors from the primary application processor (AP) and host operating system. Raw environmental data streams are routed exclusively into a hardware-isolated, bare-metal secondary microcontroller core operating a dedicated, secure execution environment. This secondary core controls an asynchronous data valve: raw sensor inputs are buffered in a one-way FIFO queue completely inaccessible to the host processor unless explicitly released by a verified user intent signal. This physical intent signal is generated natively via localized capacitive frame touch inputs, enclave-verified local acoustic triggers, or direct biomechanical voice activity sensors embedded in the frame arms (comprising a temporalis muscle-flex array and a cranio-acoustic bone-conduction accelerometer). Absent a verified biomechanical or manual trigger, the outbound data line exposed to the AP is decoupled and flooded with synthetic null-voltage noise, rendering background software-level sensor-scraping vectors fully non-functional.
Creative Commons License
This work is licensed under a Creative Commons Attribution-No Derivative Works 4.0 License.
Recommended Citation
Carter, Daitona, "EYEWEAR-INTEGRATED HARDWARE-ENCLAVED SENSOR GATING INTERFACE UTILIZING ASYNCHRONOUS DATA VALVING AND BIOMECHANICAL INTENT VERIFICATION", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10575