Abstract
A method is described for developing a pressure sensor panel that uses a single small electromechanical exciter, delivering a sawtooth wave, and a single sensor attached to a panel or structure. A trained classifier is able to recognize the pressure and location of a finger-sized object pressing on the panel based on the characteristics of the waveform detected at the sensor. The classification results of three experiments are reported: 55 virtual buttons on a panel, the pressure classification sensitivity of a single virtual button, and the location classification resolution of a tightly packed grid of points. All three experiments show excellent accuracy (99.7%, 85.2%, 96.0%, respectively) using a simple trained linear SVM classifier with a 70/30 training/validation data ratio, demonstrating that the PLASTIC method is an effective method for classifying the location and pressure of a touch on a panel or structure.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
