Estimation biting force based using EMG signals and Laguerre estimation technique

Biting force varies based on type of food that is being chewed. To study human mastication comprehensively, it is better to consider the electromyography (EMG) activity of the masticatory muscles and bite force. The aim of this study is to evaluate SEMG-force relationship by utilizing Laguerre expansion technique (LET). In this work, the electrical activity of only two masticatory muscles, namely masseter and temporalis are measured. Results denote the ability of LET in predicting mastication biting force based on EMG signals. Additionally, the proposed model can be able to control masticatory robots using recorded EMG signals. In these applications, uses of non-expensive and portable of electromyography (EMG) electrodes have advantageous compared to the use of force sensors and cameras which are often very expensive and require massive structures.