Learning model-generating apparatus, method, and program for assessing favored chewing side as well as determination device, method, and program for determining favored chewing side

A masticatory side determination apparatus that determines a masticatory side of a user, the masticatory side determination apparatus comprising:

• a processor;
• and
• a storage medium having computer program instructions stored thereon, when executed by the processor, perform to:
• acquire first and second electromyographic waveforms respectively originating from left and right muscles related to masticatory actions of the user;
• calculate a first feature value as a coefficient of correlation between pieces of information respectively extracted from the first and the second electromyographic waveforms, the coefficient of correlation being a cross-coefficient of correlation between absolute values of potentials determined based on root mean squared (RMS) processing of the first and second electromyographic waveforms;
• calculate a second feature value from a power spectrum obtained by performing frequency analysis on the first electromyographic waveform, the second feature value being a median power frequency from the power spectrum of the first electromyographic waveform;
• calculate a third feature value from a power spectrum obtained by performing frequency analysis on the second electromyographic waveform, the third feature value being a median power frequency from the power spectrum of the second electromyographic waveform;
• and
• generate a learning model based on the first, second, and third feature values;
• and
• determine the masticatory side of the user using the learning model, based on the first, second, and third feature values.