Hand grip pattern recognition for mobile user interfaces

Abstract

This paper presents a novel user interface for handheld mobile devices by recognizing hand grip patterns. Par-ticularly, we consider the scenario where the device is provided with an array of capacitive touch sensors un-derneath the exterior cover. In order to provide the users with intuitive and natural manipulation experience, we use pattern recognition techniques for identifying the users ’ hand grips from the touch sensors. Preliminary user studies suggest that filtering out unintended user hand grip is one of the most important issues to be re-solved. We discuss the details of the prototype imple-mentation, as well as engineering challenges for practi-cal deployment.