DeRucci and MIT unveiled FiberCircuits, intelligent AI fibres combining sensing, on-device inference and feedback for natural, low-intrusion human computer interaction experiences.
MIT’s Sensor and Ambient Intelligence group, led by Joseph Paradiso, unveiled ‘FiberCircuits’, a smart-fibre platform co-developed with DeRucci. It embeds sensing, edge inference, and feedback directly in fibres to create ‘weavable intelligence’. The aim is natural, low-intrusion human–computer interaction.
Teams embedded AI micro-sensors and sub-millimetre ICs to capture respiration, movement, skin conductance, and temperature, running tinyML locally for privacy. Feedback via light, sound, or micro-stimulation closes the loop while keeping power and data exposure low.
Sleep science prototypes included a mattress with distributed sensors for posture recognition, an eye mask combining PPG and EMG, and an IMU-enabled pillow. Prototypes were used to validate signal parsing and human–machine coupling across various sleep scenarios.
Edge-first design places most inference on the fibre to protect user data and reduce interference, according to DeRucci’s CTO, Chen Wenze. Collaboration covered architecture, algorithms, and validation, with early results highlighting comfort, durability, and responsiveness suitable for bedding.
Partners plan to expand cohorts and scenarios into rehabilitation and non-invasive monitoring, and to release selected algorithms and test protocols. Paradiso framed material-level intelligence as a path to gentler interfaces that blend into everyday environments.
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