Calibration-Free Interface

An input system that works for a new user without any per-user training or calibration data, typically by relying on models trained on large multi-user datasets that capture enough physiological and behavioural variation to generalise. Voice assistants and mixed-reality hand tracking have long achieved this; biosignal interfaces (EMG, EEG, gaze) have historically required calibration because of high inter-individual variability. For accessibility, calibration-free operation is especially important because calibration sessions can be fatiguing, error-prone, or outright impossible for users with motor, cognitive, or communication disabilities, and they act as a significant adoption barrier for assistive technologies.