7.1: Invited Paper: Force Touch and Machine Learning Based Smart Sensing Techniques for Interactive Displays

Author:

Gao Shuo1,Dai Yanning1,Chen Junliang1,Huang Anbiao1,Liu Yong1

Affiliation:

1. School of Instrumentation and Optoelectronic Engineering Beijing China

Publisher

Wiley

Reference7 articles.

1. Ensemble Learning-Based Technique for Force Classifications in Piezoelectric Touch Panels;Y Liu;IEEE Sens J.,2020

2. High Security User Authentication Enabled by Piezoelectric Keystroke Dynamics and Machine Learning;A Huang;IEEE Sens J.,2020

3. Ultrathin multifunctional graphene-PVDF layers for multidimensional touch interactivity for flexible displays;S Gao;ACS Appl Mater Interfaces,2017

4. A PVDF/Au/PEN Multifunctional Flexible Human-Machine Interface for Multidimensional Sensing and Energy Harvesting for the Internet of Things;Y Dai;IEEE Sens J.,2020

5. A Flexible Multi-Functional Touch Panel for Multi-Dimensional Sensing in Interactive Displays

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