A wearable input/output interface learns personalized models of haptic perception
A 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.
Source: arXiv Robotics — research abstracts · Read original article ↗
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36
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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
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36
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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
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Automatically extracted; no manual editorial approval recorded.
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.
Open source S5
ported percept locations to be registered within the same body-referenced coordinate frame. In 24 participants, the device revealed electrotactile and referred-thermal perceptual maps with notable interparticipant variability. Despite this variability, both modalities retained electrode-pair-specific spatial structure across participants. Tactile and thermal percepts also showed spatial correspondence, whose strength
Open source S3
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
Open source S2
varied across participants. These findings motivated our human-in-the-loop calibration framework, which adapts a forward-prediction strategy to individual users and generates personalized perceptual models. These models enabled inverse rendering by selecting stimulation patterns predicted to generate a target percept for a specific user. Using these models, we demonstrate personalized haptic rendering in haptic-guid
Open source S4
Source：arXiv Robotics — research abstracts · arxiv.org