Toward the reduction of incorrect drawn ink retrieval

Abstract

As tablet devices become popular, various handwriting applications are used. Some of applications incorporate a specific function, which is generally called palm rejection. Palm rejection enables application users to put the palm of a writing hand onto a touch display. It classifies intended touches and unintended touches so that it prevents accidental inking, which has been known to occur under the writing hand. Though some of palm rejections can remove accidental inking afterward, this function occasionally does not execute correctly as it may remove rather correct ink strokes as well. We call this interaction Incorrect Drawn Ink Retrieval (IDIR). In this paper, we propose a software algorithm that is a combination of two palm rejection logics that reduces IDIR with precision and without latency. That algorithm does not depend on specific hardware, such as an active stylus pen. Our data provides 98.98% correctness and the algorithm takes less than 10 ms for the distinction. We confirm that our experimental application reduced the occurrences of IDIR throughout an experiment.

A Review of the Stylus System to Enhance Usability Through Sensory Feedback

“…As a result, 85 studies on the task and environment in which the stylus was used were collected initially, and the collected studies were macroscopically divided into studies in a common usage environment and those in a specific usage environment. The former consisted of studies dealing with general tasks, regardless of the context of use, and was further divided into studies about intended interaction (e.g., tapping, dragging) [2-5, 7, 8, 23-28] and studies about unintended interaction (e.g., the palm rejection problem, in which the palm is not properly recognised when a stylus is used to interact) [29,30]. However, for the purpose of grasping the various usage contexts of the stylus, studies about the common usage environment were excluded.…”