This publication describes an application software that may be used in an in-vehicle infotainment (IVI) system with its associated user interface (UI) or a portable computing device such as a smartphone. The application software distinguishes a driver’s touch from that of a front-seat passenger’s touch by evaluating the angle of the user interacting with the UI. The ability of the application software to correctly interpret the user’s touch allows for optimal interaction with the UI and, in the case of the driver, helps reduce distracted driving. To conserve resources, machine learning (ML) may train the application software’s model remotely off-line.
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Garcia, Luis Delgado De Mendoza, "In-Vehicle Infotainment (IVI) System User Interface (UI) Enhancement", Technical Disclosure Commons, (March 13, 2019)