7.1: Invited Paper: Force Touch and Machine Learning Based Smart Sensing Techniques for Interactive Displays. (24th February 2021)

• Record Type: Journal Article
• Authors: Gao, Shuo; Dai, Yanning; Chen, Junliang; Huang, Anbiao; Liu, Yong
• Is Part Of: Digest of technical papers. Volume 52(2021)Supplement 1
• Page Start: 40
• Page End: 43
• Publication Date: 2021-02-24
• Subjects: Force Touch -- piezoelectric film -- machine learning -- interactive displays; Information display systems -- Congresses; 621.3815422
• DOI: 10.1002/sdtp.14367
• Languages: English
• ISSNs: 0097-966X

Abstract

Abstract : Force touch function in interactive displays gains increasing interests due to its ability in detecting 3D information from customers, giving rise to plenty of novel and advanced services for users and therefore increasing the efficiency of human‐machine interactivity. In this article, piezoelectric based force touch architecture and machine learning algorithms are smoothly combined for implementation of user‐centered force level recognition and user identity authentication.