A Force--Voltage Responsivity Stabilization Method for Piezoelectric
Touch Panels in the Internet of Things
Abstract
Piezoelectric force touch panels are extensively utilized as
human-machine interfaces for 3-dimensional touch sensing in internet of
things (IoT) applications. However, the unstable force voltage
responsivity issue induced by different touch orientations limits the
successful use of piezoelectric touch panels. In this article, a
piezoelectric touch panel, which is sensitive to both capacitive and
force stimulation, is assembled; and a touch orientation classification
technique is developed to calibrate the detected force amplitude by
training a machine learning model with finger induced capacitive
information. Finally, a high stable force voltage responsivity of 87.5%
is achieved experimentally.