A bioinspired tactile scanner for computer haptics

Huimin Li, Jianle Lin, Shuxin Lin, Haojie Zhong, Bowei Jiang, Xinghui Liu, Weisheng Wu, Weiwei Li, Emad Iranmanesh, Zhongyi Zhou, Wenjun Li and Kai Wang ()
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Huimin Li: Sun Yat-sen University
Jianle Lin: Sun Yat-sen University
Shuxin Lin: Sun Yat-sen University
Haojie Zhong: Sun Yat-sen University
Bowei Jiang: Sun Yat-sen University
Xinghui Liu: Shenzhen Chipwey Innovation Technologies Co. Ltd.
Weisheng Wu: Sun Yat-sen University
Weiwei Li: Chinese Academy of Sciences
Emad Iranmanesh: Sun Yat-sen University
Zhongyi Zhou: Shenzhen Chipwey Innovation Technologies Co. Ltd.
Wenjun Li: Sun Yat-sen University
Kai Wang: Sun Yat-sen University

Nature Communications, 2024, vol. 15, issue 1, 1-12

Abstract: Abstract Computer haptics (CH) is about integration of tactile sensation and rendering in Metaverse. However, unlike computer vision (CV) where both hardware infrastructure and software programs are well developed, a generic tactile data capturing device that serves the same role as what a camera does for CV, is missing. Bioinspired by electrophysiological processes in human tactile somatosensory nervous system, here we propose a tactile scanner along with a neuromorphically-engineered system, in which a closed-loop tactile acquisition and rendering (re-creation) are preliminarily achieved. Based on the architecture of afferent nerves and intelligent functions of mechano-gating and leaky integrate-and-fire models, such a tactile scanner is designed and developed by using piezoelectric transducers as axon neurons and thin film transistor (TFT)-based neuromorphic circuits to mimic synaptic behaviours and neural functions. As an example, the neuron-like tactile information of surface textures is captured and further used to render the texture friction of a virtual surface for “recreating” a “true” feeling of touch.

Date: 2024
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DOI: 10.1038/s41467-024-51674-2

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