A wearable input/output interface learns personalized models of haptic perception
Overview
This research introduces a wearable haptic device combining a 36-channel electrotactile array with capacitive touch sensing to map user-specific referred tactile and thermal percepts. Despite significant interparticipant variability, the system identifies consistent spatial structures in electrode-pair responses and establishes correspondence between tactile and thermal sensations. The authors developed a human-in-the-loop calibration framework that adapts forward-prediction strategies to individual users, generating personalized perceptual models for inverse rendering. These models enable applications in haptic-guided robot teleoperation, visual-to-haptic sensory substitution, interpersonal haptic communication, and virtual reality, offering a pathway toward adaptive interfaces that measure, model, and render stimuli according to each user's unique perception.
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Event evidence and corrections
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Control: teleoperated
“ed robot teleoperation, visual-to-haptic sensory substitution, interpersonal haptic communication, and virtual reality (VR). Together, this platform provides a route toward adaptive haptic interfaces that measure, model, and render according to each user's perception.”
Exact source · revision 1Source owner not reported
Reported quantity · channels: 36 other · Basis not reported
“arXiv:2611.09708v1 Announce Type: new Abstract: Wearable haptic interfaces deliver physical stimuli to the skin, yet perceived locations vary widely across users and diverge from actuator locations, particularly for emergent tactile-feedback techniques. We developed a wearable haptic input/output (I/O) device integrating a 36-channel electrotactile array with capacitive touch sensing, enabling stimulation and user-re”
Exact source · revision 1Source owner not reported
Reported quantity · electrodes: 36 other · Basis not reported
“arXiv:2611.09708v1 Announce Type: new Abstract: Wearable haptic interfaces deliver physical stimuli to the skin, yet perceived locations vary widely across users and diverge from actuator locations, particularly for emergent tactile-feedback techniques. We developed a wearable haptic input/output (I/O) device integrating a 36-channel electrotactile array with capacitive touch sensing, enabling stimulation and user-re”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalA wearable input/output interface learns personalized models of haptic perception
This research introduces a wearable haptic device combining a 36-channel electrotactile array with capacitive touch sensing to map user-specific referred tactile and thermal percepts. Despite significant interparticipant variability, the system identifies consistent spatial structures in electrode-pair responses and establishes correspondence between tactile and thermal sensations. The authors developed a human-in-the-loop calibration framework that adapts forward-prediction strategies to individual users, generating personalized perceptual models for inverse rendering. These models enable applications in haptic-guided robot teleoperation, visual-to-haptic sensory substitution, interpersonal haptic communication, and virtual reality, offering a pathway toward adaptive interfaces that measure, model, and render stimuli according to each user's unique perception.
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Current attention 3·Peak within the comparable range 4（2026-11-10 12:00 UTC）·Change within the comparable range over 24 hours –
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