| Literature DB >> 33802389 |
Zengchong Yang1, Xiucheng Liu1, Bin Wu1, Ren Liu1.
Abstract
Previous studies on Lamb wave touchscreen (LWT) were carried out based on the assumption that the unknown touch had the consistent parameters with acoustic fingerprints in the reference database. The adaptability of LWT to the variations in touch force and touch area was investigated in this study for the first time. The automatic collection of the databases of acoustic fingerprints was realized with an experimental prototype of LWT employing three pairs of transmitter-receivers. The self-adaptive updated weight coefficient of the used transmitter-receiver pairs was employed to successfully improve the accuracy of the localization model established based on a learning method. The performance of the improved method in locating single- and two-touch actions with the reference database of different parameters was carefully evaluated. The robustness of the LWT to the variation of the touch force varied with the touch area. Moreover, it was feasible to locate touch actions of large area with reference databases of small touch areas as long as the unknown touch and the reference databases met the condition of equivalent averaged stress.Entities:
Keywords: lamb wave; robustness; touch localization model; touchscreen
Year: 2021 PMID: 33802389 DOI: 10.3390/s21051736
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576