The relationship between muscles' electrical activity and body movements is of special importance in many medical applications. In this study, for the first time, we plan to evaluate the efficiency of time-delay parallel cascade identification (TDPCI) to predict jaw motion using Electromyography (EMG) signals recorded from two masticatory muscles, namely masseter and temporalis. The Obtained results demonstrate the efficiency of TDPCI in predicting time-varying mastication kinematic parameters based on EMG signals recorded from the two aforementioned muscles. The proposed model has the potential to be employed for controlling masticatory robots controlled by remotely recorded EMG signals.

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