Northwestern University Researchers Unveil Experimental GlassTENG Smart Glasses Prototype

Researchers from Northwestern University introduced GlassTENG, an experimental smart glasses prototype that detects pulse, blinking, and facial movements using three flexible triboelectric nanogenerators embedded in the frame. Presented at ISWC 2026, the system converts mechanical pressure changes into electrical signals without cameras or skin-contact electrodes. In tests with 20 volunteers, a machine learning algorithm recognized actions with 93.8% overall accuracy, achieving 99% for blinking and teeth tapping but only 55% for speech detection. Pulse measurement showed an average absolute error of 1.82 beats per minute compared to a Polar H10 chest strap during rest. The analog circuit consumes 4.1 microwatts across three channels, excluding microcontroller and wireless components. Full autonomy without a battery has not yet been demonstrated, and the prototype does not provide medical diagnostics.