Abstract
A computing device (e.g., a smartphone, a laptop computer, a tablet computer, a smartwatch, etc.) may use user gesture inputs to a graphical user interface (GUI) to determine a number of pages to move forward or back in paged digital content (e.g., electronic book, document file, digital article, word processing document, etc.). A machine learning model at the computing device may receive values such as contact location, pressure, and velocity of the user gesture to determine the number of pages to move forward or back.
Training data to construct the machine learning model may be obtained using physical books. One or more sensors, such as one or more cameras, may be focused on the physical books as test subjects turn the physical book’s pages. Information such as page contact location, pressure, velocity, and the number of pages turned may be obtained from the sensor data. A machine learning algorithm can use this information as the ground truth to construct the machine learning model for the computing device.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Shin, D., "PHYSICALLY REALISTIC BOOK PAGE NAVIGATION", Technical Disclosure Commons, (July 01, 2022)
https://www.tdcommons.org/dpubs_series/5232