A bioinspired tactile scanner for computer haptics

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.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2024-09-02
DOI
https://doi.org/10.1038/s41467-024-51674-2
Citations
15
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
5.14
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A bioinspired tactile scanner for computer haptics

Zhongyi Zhou, Weisheng Wu, Bowei Jiang, Emad Iranmanesh et al.
15 citations
Nature Communications
Tactile and Sensory Interactions
5.14
article

A bioinspired tactile scanner for computer haptics

Zhongyi Zhou, Weisheng Wu, Bowei Jiang, Emad Iranmanesh, Kai Wang, Jianle Lin, Huimin Li, Wenjun Li, Weiwei Li, Xinghui Liu, Shuxin Lin, Haojie Zhong
article en
15 citations

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.

Nature CommunicationsVol. 15(1)
Sun Yat-sen University (CN), Chinese Academy of Sciences (CN), Institute of Microelectronics (CN), Shenzhen Planck Innovation (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 4%
Tactile and Sensory Interactions
5.14
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.