Bi-axis control algorithm to generate manuscript shapes from mathematical handwriting model

The study of the human handwriting process shows that bell-shaped velocity profiles are generally observed in the handwriting motion. In this paper, a mathematical model using input and output data relative to two forearm muscles activities, named, ElectroMyoGraphic signals (EMG) and velocities of a pen tip moving on (x, y) plan is proposed. Using the outputs of this model, we also propose a novel bi-axis control algorithm to generate handwritten graphic traces obtained from the mathematical velocity model. The cascading validation between these approaches allows to control the handwriting process and to generate graphic traces only from the forearm activities. The effectiveness of this approach should be observed on predicting different cursive Arabic letters and geometric shapes constituting the recorded experimental basis.