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Explore a groundbreaking non-invasive brain-computer interface (BCI) system in this 15-minute interview with Valeria Tomaselli, SW Design Senior Team Leader at STMicroelectronics. Discover how electrostatic sensing combined with an ultra-compact convolutional neural network running entirely on an STM32H7 microcontroller enables control through voluntary blinks and left/right glances. Learn about the system's impressive technical specifications, including 90%+ accuracy across users, minimal resource requirements of just 18KB flash and 6KB RAM, and sub-millisecond inference at 240 Hz. Examine practical demonstrations of blink-to-jump and look-to-steer gaming applications, while understanding the broader implications for accessibility, smart home control, and low-power wearables. Compare this edge AI approach with other brain-computer interface technologies like Neuralink and OpenBCI, analyzing trade-offs in ethics, latency, and deployment considerations. Gain insights into the future roadmap including glasses integration, personal calibration features, and expanded command sets that could revolutionize how we interact with technology through simple eye movements and blinks.
