DOI: 10.1002/sdtp.16763 ISSN:

78‐1: Invited Paper: Tactile Scanner as Neuromorphic Skin for Computer Haptics

Kai Wang
  • General Medicine

In computer haptics, haptic devices provide sensory feedback that simulates physical properties and forces for recreating a feeling of touch when interacting with a virtual object. To generate such a feeling, a tactile sensor is required to collect tactile information similar to what human hand or skin does and then render it to drive a high‐fidelity artificial skin for tactile display. In this work, a flexible tactile scanner with a TFT‐based neuromorphic circuit as sensor interface is proposed to acquire tactile information with bionic characteristics. In order to recognize and classify different materials and textured surfaces, such a neuromorphic signal conversion is of necessity to generate neuromorphic data that can be used for artificial neuron network training and learning. Further, the following labelled bionic tactile information can be utilized to generate a motor‐neuron‐like signal to drive a high‐fidelity bionic neuromorphic skin for tactile display, enabling to generate a touch feeling of a virtual object in Metaverse. Therefore, as the first step, a tactile scanner as neuromorphic skin must be used to acquire tactile data for such a purpose.

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