A stress evaluation and calibration method carried out by a stress evaluation and calibration apparatus comprising an obtaining module, a processing module (12, 62), and a calibration module (13, 63), said method comprising: obtaining, by the obtaining module, a physiological parameter signal of a user; determining, by the processing module (12, 62), a smallest stress state value of the user within preset duration based on an eigenvalue vector of the physiological parameter signal; determining, by the processing module (12, 62), calibration information based on a smallest reference stress value of a group to which the user belongs and the smallest stress state value; and calibrating, by the calibration module (13, 63), by using the calibration information, a stress state value, to determine a theoretical stress state value of the user; wherein the determining a smallest stress state value of the user within preset duration based on an eigenvalue vector of the physiological parameter signal comprises: obtaining an eigenvalue vector corresponding to the physiological parameter signal at each moment within the preset duration; for the eigenvalue vector at each moment, obtaining a stress state value of the user at each moment based on the eigenvalue vector; and determining the smallest stress state value of the user within the preset duration based on the stress state value of the user at each moment within the preset duration; and wherein the eigenvalue vector comprises a plurality of different eigenvalue components, and the stress state value of the user at each moment is obtained by performing weighted summation based on each eigenvalue component in the eigenvalue vector and a weight value corresponding to each eigenvalue component. obtaining, by the obtaining module, a physiological parameter signal of a user; determining, by the processing module (12, 62), a smallest stress state value of the user within preset duration based on an eigenvalue vector of the physiological parameter signal; determining, by the processing module (12, 62), calibration information based on a smallest reference stress value of a group to which the user belongs and the smallest stress state value; and calibrating, by the calibration module (13, 63), by using the calibration information, a stress state value, to determine a theoretical stress state value of the user; wherein the determining a smallest stress state value of the user within preset duration based on an eigenvalue vector of the physiological parameter signal comprises: obtaining an eigenvalue vector corresponding to the physiological parameter signal at each moment within the preset duration; for the eigenvalue vector at each moment, obtaining a stress state value of the user at each moment based on the eigenvalue vector; and determining the smallest stress state value of the user within the preset duration based on the stress state value of the user at each moment within the preset duration; and wherein the eigenvalue vector comprises a plurality of different eigenvalue components, and the stress state value of the user at each moment is obtained by performing weighted summation based on each eigenvalue component in the eigenvalue vector and a weight value corresponding to each eigenvalue component. obtaining an eigenvalue vector corresponding to the physiological parameter signal at each moment within the preset duration; for the eigenvalue vector at each moment, obtaining a stress state value of the user at each moment based on the eigenvalue vector; and determining the smallest stress state value of the user within the preset duration based on the stress state value of the user at each moment within the preset duration; and wherein the eigenvalue vector comprises a plurality of different eigenvalue components, and the stress state value of the user at each moment is obtained by performing weighted summation based on each eigenvalue component in the eigenvalue vector and a weight value corresponding to each eigenvalue component.