Machine Learning for Touch Localization on an Ultrasonic Lamb Wave Touchscreen

Machine Learning for Touch Localization on an Ultrasonic Lamb Wave Touchscreen

Classification and regression employing a simple Deep Neural Network (DNN) are investigated to perform touch localization on a tactile surface using ultrasonic guided waves. A robotic finger first simulates the touch action and captures the data to train a model. The model is then validated with dat...

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Bibliographic Details
Main Authors: Sahar Bahrami, Jérémy Moriot, Patrice Masson, François Grondin
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
signal processing
machine earning
ultrasonic wave
touch technology
human–machine interface
Online Access:https://www.mdpi.com/1424-8220/22/9/3183

Internet

https://www.mdpi.com/1424-8220/22/9/3183

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