Premium
Augmented Reality Interfaces Using Virtual Customization of Microstructured Electronic Skin Sensor Sensitivity Performances
Author(s) -
Yao Haicheng,
Sun Tao,
Chiam John Solomon,
Tan Melissa,
Ho Khek Yu,
Liu Zhuangjian,
Tee Benjamin Chee Keong
Publication year - 2021
Publication title -
advanced functional materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.069
H-Index - 322
eISSN - 1616-3028
pISSN - 1616-301X
DOI - 10.1002/adfm.202008650
Subject(s) - personalization , augmented reality , materials science , robotics , sensitivity (control systems) , interface (matter) , electronic skin , computer science , pressure sensitive , electronics , pyramid (geometry) , virtual reality , pressure sensor , electronic component , robot , soft robotics , human–computer interaction , artificial intelligence , mechanical engineering , nanotechnology , electronic engineering , electrical engineering , engineering , adhesive , physics , optics , layer (electronics) , capillary number , capillary action , world wide web , composite material
Electronic skins equip robots and biomedical devices with intuitive skin‐like sensitivity. Performance‐driven design of electronic skins is a critical need for electronic or biomedical applications. Prior research primarily focuses on investigating effects of microstructures on sensor performance at low pressure ranges. However, having predictive and tunable electro–mechanical responses across an extensive pressure range (>100 kPa) is paramount. Here, the authors propose a system that virtually customizes micropyramids for e‐skin sensors. The associations between geometry parameters, material properties, and single‐pyramid performance are systematically explored via numerical simulations, empirical characterizations, and analytical solutions. These experimentally validated models allow for the determination of the sensor parameters for the desired performance. An augmented reality interface system for surgery skills training by optimizing sensitivities that match varying tissue stiffnesses is further demonstrated. The platform enables greater effectiveness in rapidly iterating and designing micropyramidal e‐skin for applications in augmented reality interfaces, robotics, and telehealthcare.