BioMoTouch achieves 99.71% balanced accuracy and 0.27% equal error rate by learning coordinated physiological-behavioral representations from standard capacitive and inertial sensors during natural touch interactions.
Touch technology in affective human–, robot–, and virtual–human interactions: A survey
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Affective touch strategies on a humanoid robot are body-region dependent and shaped by embodiment constraints, with non-transferable patterns across free and limited-touch conditions.
citing papers explorer
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BioMoTouch: Touch-Based Behavioral Authentication via Biometric-Motion Interaction Modeling
BioMoTouch achieves 99.71% balanced accuracy and 0.27% equal error rate by learning coordinated physiological-behavioral representations from standard capacitive and inertial sensors during natural touch interactions.
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Mapping Embodied Affective Touch Strategies on a Humanoid Robot
Affective touch strategies on a humanoid robot are body-region dependent and shaped by embodiment constraints, with non-transferable patterns across free and limited-touch conditions.