Sentence examples for handwriting motion from inspiring English sources

The barycenter trajectory is introduced to use instead of pen-point position to reduce a sensitivity of handwriting motion.

Since our algorithm directly record the handwriting process, we can directly vectorizes the handwriting motion gesture of the finger for network traffic efficiency.

The effectiveness of using the barycenter to reduce the fluctuation of handwriting motion has been reported in our earlier work[19].

First, the barycenter determined from both the center point of signature and two adjacent pen-point positions in the signing process, instead of one pen-point position, is used to reduce the fluctuation of handwriting motion.

Besides the common handwriting features, i.e., horizontal components, vertical components, and handwriting velocity, two additional dynamic handwriting features were introduced, namely, motion pressure and area pressure, both of which incorporate pen-point pressure and handwriting motion into the handwriting features.

In order to obtain the stable handwriting motion in signing process, the trajectory of the barycenter determined from the center point of a script and the two adjacent pen-point positions with respect to time in signing process is used in place of pen-point trajectory.

We evaluate our method using a library of human handwriting motions, a mobile robot and an industrial manipulator.

The approach is validated in a 2d task of learning handwriting motions, a periodic polishing motion and in a manipulation task with the 7 degrees of freedom Barrett WAM manipulator.

Many were hand-drawn using an iPhone app that records handwriting motions and translates them into GML.

In this paper, among the available dynamic handwriting features, motion pressure and area pressure are employed to investigate handwriting behavior.

The effectiveness of the two new handwriting features, motion pressure and area pressure, is shown in Figure12.