Wearable haptic device learns personalized perception models
What happened
The research team developed a wearable haptic input/output device that integrates a 36-channel electrotactile array with capacitive touch sensing, allowing stimulation locations and user-reported perceived locations to be aligned in the same body-referenced coordinate system. Among 24 participants, the device revealed pronounced individual differences in electrotactile and thermal haptic perception maps, but the two modalities retained electrode-pair-specific spatial structure across participants. Based on this, the team proposed a human-in-the-loop calibration framework that uses a forward-prediction strategy to adapt to individual users and generate personalized perception models. The team says it used these models to demonstrate haptically guided robotic teleoperation, visual-to-haptic sensory substitution, interpersonal haptic communication, and personalized haptic rendering in virtual reality.
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- arXiv cs.ROWearable haptic interface learns personalized touch perception models
The research team developed a wearable haptic input/output device that integrates a 36-channel electrotactile array with capacitive touch sensing, enabling stimulation locations and user-reported perceived locations to be aligned within the same body-referenced coordinate frame. Experiments with 24 participants showed notable individual differences in electrotactile and thermal percept maps, but both modalities retained electrode-pair-specific spatial structure across participants.
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