Bio-Tuning Glasses: Building an Invisible Biofeedback Interface with Edge AI and Adaptive Optics

Short summary

An experimental concept for smart glasses that silently adapts the user's environment based on physiological state, replacing the traditional sense-notify loop with sense-infer-intervene-observe-learn. The architecture uses three computational loops: on-device TinyML for real-time optical adjustments, a smartphone edge hub for contextual state estimation, and cloud AI for long-term personalization. Privacy is preserved by keeping raw sensor data local and transmitting only compact encrypted representations.

• •Proposes biofeedback glasses that adapt environment instead of notifying user
• •Three-tier edge AI architecture: on-device TinyML, smartphone hub, cloud personalization
• •Privacy-by-design keeps raw biometric data local with encrypted compact representations

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