Provided is an emotion estimating apparatus that is capable of estimating, in a sophisticated manner, an emotion and the mental state of a measurement subject by using a non-contact pulse detection technology. The emotion estimating apparatus performs forced re-sampling processing of digital biometric data generated by converting heart rate signals to digital data after extracting, at an RR interval, data corresponding to one cycle, thus obtaining coefficients of harmonic components by means of a DCT conversion processing unit. A coefficient data array is obtained by removing, by means of LPF, AC components from said coefficients of the harmonic components. This coefficient data array is compared to a dictionary data group, which are characteristic quantities indicating an emotion or the mental state, thereby calculating the similarity therebetween, and thus, an emotion or the mental state of the subject is estimated on the basis of the heart rate signals of the subject.
EMOTION ESTIMATING APPARATUS