A Highly Sensitive Self‐Assembled‐Nanoparticles e‐Skin Sensor for Controlling Avatar Facial Micro‐Expressions

Author:

Wang Jianfei1ORCID,Suo Jiao2,Zhang Hongyu2,Gao Mingyan1,Liu Ri1,Cao Liang1,Wang Keer2,Vellaisamy Roy3,Makasheva Kremena4,Yu Xinge5,Cao Shan Cecilia6,Li Wen Jung2ORCID,Wang Zuobin17

Affiliation:

1. International Research Centre for Nano Handling and Manufacturing of China Changchun University of Science and Technology Jilin 130022 China

2. CAS‐CityU Joint Laboratory for Robotic Research Department of Mechanical Engineering City University of Hong Kong Kowloon Hong Kong 999077 China

3. James Watt School of Engineering University of Glasgow Glasgow Scotland G12 8QQ UK

4. Laboratory on Plasma and Conversion of Energy (LAPLACE) University Toulouse III‐Paul Sabatier, CNRS, INPT Toulouse 31062 France

5. Department of Biomedical Engineering City University of Hong Kong Hong Kong 999077 China

6. Materials Genome Institute Shanghai University Shanghai 200444 China

7. Institute of Biomedical and Environmental Science & Technology and Institute for Research in Applicable Computing University of Bedfordshire Luton LU1 3JU UK

Abstract

AbstractWith their unique electrical, mechanical, and surface properties, gold nanoparticles (AuNPs) open up new possibilities for sensor technology. In particular, conductive thin films constructed from ligand‐stabilized AuNPs are considered an ideal sensing platform due to their high surface area, excellent conductivity, and biocompatibility. However, most methods for making conductive AuNPs thin‐film sensors with excellent sensitivity require expensive equipment. In this work, an innovative resistive strain sensor consisting of AuNPs and poly (allylamine hydrochloride) (PAH) based on the mutual adsorption of positive and negative charges using a low‐cost layer‐by‐layer self‐assembly (LBL‐SA) approach on a flexible polyester substrate is developed. The conductance changes at low temperatures of the AuNPs/PAH agree with the Arrhenius‐type activation of charge transport. Additionally, the maximum gauge factor of the sensor is shown experimentally to be ≈656 when 1% strain is applied to the sensor film. This work demonstrates that the sensor detects body motions, eyeball movements, and facial micro‐expressions. For detecting eyeball movements and facial micro‐expressions, the macro‐recall can reach 91.5% and 98.8%. Simultaneously, the sensor can control the virtual avatar's eye movements and human facial micro‐expressions in VR. Therefore, nanoparticle‐based sensors can be extensively used in future applications related to healthcare and human‐computer interaction.

Funder

China Scholarship Council

Higher Education Discipline Innovation Project

Key Technologies Research and Development Program of Anhui Province

Publisher

Wiley

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