ABSTRACT
Smartphone has become a commodity device that makes life convenient whereas its capability of user interaction is often limited by its small touch screen. Employing built-in accelerometer to reconstruct gesture motions is considered as a promising solution for gesture interaction. However, the inability to separate unintentional movement from gesture motion, which often misleads the gesture recognition systems, limits the application of those acceleration-based methods. We present AccPen, a method that using smartphone as a pen for gesture interaction on physical surfaces, such as walls and tables. We utilize the high frequency portion of acceleration signals caused by friction when using the AccPen to write on physical surfaces to detect intentional gestures and reconstruct a representation of the gesture trajectory for gesture recognition. We conduct a study with 10 participants and present robust gesture recognition with an average accuracy of 92.22% across surfaces of desktops, wall, and paper.
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Index Terms
- AccPen: Using Smartphone with Accelerometer to Interact as Pen
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