1. Behavioral biometric optical tactile sensor for instantaneous decoupling of dynamic touch signals in real time
- Author
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Changil Son, Jinyoung Kim, Dongwon Kang, Seojoung Park, Chaeyeong Ryu, Dahye Baek, Geonyoung Jeong, Sanggyun Jeong, Seonghyeon Ahn, Chanoong Lim, Yundon Jeong, Jeongin Eom, Jung-Hoon Park, Dong Woog Lee, Donghyuk Kim, Jungwook Kim, Hyunhyub Ko, and Jiseok Lee
- Subjects
Science - Abstract
Abstract Decoupling dynamic touch signals in the optical tactile sensors is highly desired for behavioral tactile applications yet challenging because typical optical sensors mostly measure only static normal force and use imprecise multi-image averaging for dynamic force sensing. Here, we report a highly sensitive upconversion nanocrystals-based behavioral biometric optical tactile sensor that instantaneously and quantitatively decomposes dynamic touch signals into individual components of vertical normal and lateral shear force from a single image in real-time. By mimicking the sensory architecture of human skin, the unique luminescence signal obtained is axisymmetric for static normal forces and non-axisymmetric for dynamic shear forces. Our sensor demonstrates high spatio-temporal screening of small objects and recognizes fingerprints for authentication with high spatial-temporal resolution. Using a dynamic force discrimination machine learning framework, we realized a Braille-to-Speech translation system and a next-generation dynamic biometric recognition system for handwriting.
- Published
- 2024
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