Touchscreen sensors are widely used in many devices such as smart phones, tablets, and laptops with diverse applications. We present the design, analysis, and implementation of an ultrasonic touchscreen system that utilizes the interaction of transient Lamb waves with objects in contact with the screen. It attempts to improve on the existing ultrasound technologies, with the potential of addressing some of the weaknesses of the dominant technologies, such as the capacitive or resistive ones. Compared with the existing ultrasonic and acoustic modalities, among other advantages, it provides the capability of detecting several simultaneous touch points and also a more robust performance. The localization algorithm, given the hardware design, can detect several touch points with a very limited number of measurements (one or two). This in turn can significantly reduce the manufacturing cost.
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http://dx.doi.org/10.1109/TUFFC.2016.2608781 | DOI Listing |
NPJ Sci Learn
December 2023
The Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Learning spatial layouts and navigating through them rely not simply on sight but rather on multisensory processes, including touch. Digital haptics based on ultrasounds are effective for creating and manipulating mental images of individual objects in sighted and visually impaired participants. Here, we tested if this extends to scenes and navigation within them.
View Article and Find Full Text PDFIEEE Trans Haptics
December 2023
The sensation of touching virtual texture and shape can be provided to a touchscreen user by varying the friction force. Despite the saliency of the sensation, this modulated frictional force is purely passive and strictly opposes finger movement. Therefore, it is only possible to create forces along the direction of movement and this technology cannot stimulate a static fingertip or provide forces that are orthogonal to the direction of movement.
View Article and Find Full Text PDFSci Rep
June 2022
The LINE (Laboratory for Investigative Neurophysiology), Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Dashboard-mounted touchscreen tablets are now common in vehicles. Screen/phone use in cars likely shifts drivers' attention away from the road and contributes to risk of accidents. Nevertheless, vision is subject to multisensory influences from other senses.
View Article and Find Full Text PDFSensors (Basel)
April 2022
Faculty of Engineering, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada.
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 data from experiments conducted with human fingers.
View Article and Find Full Text PDFSensors (Basel)
March 2021
Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China.
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.
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