A computer-implemented method for improving the accuracy of a bio-information measurement, wherein the bio-information includes at least one of blood pressure, vascular age, a degree of arteriosclerosis, an aortic pressure waveform, vascular compliance, a stress index, and a degree of fatigue, the method comprising: obtaining a bio-signal associated with an object of interest, wherein the bio-signal includes a pulse wave signal; extracting a first feature from each of a plurality of points of the pulse wave signal, wherein the first feature has a high degree of correlation with the bio-information; extracting a second feature from each of the plurality of points of the pulse wave signal, wherein the second feature has a high degree of correlation with the bio-information; identifying a first degree of change in the first feature at each point relative to a first feature at a reference point; identifying a second degree of change in the second feature at each point relative to a second feature at the reference point, wherein the identifying of the first degree of change in the first feature and the second degree of change in the second feature respectively comprise setting each of the plurality of points as the reference point in turn and calculating the first degree of change in the first feature and the second degree of change in the second feature at each point relative to each reference point; determining a calibration point of a bio-information estimation model from among the plurality of points of the bio-signal based on the first degree of change in the first feature and the second degree of change in the second feature, wherein the determining of the calibration point comprises calculating a sum of residual between the first degree of change in the first feature and the second degree of change in the second feature at each point for each reference point and determining a reference point at which the calculated sum of residual has a minimum value as the calibration point; updating the bio-information estimation model based on the first feature and the second feature at the determined calibration point; and estimating the bio-information based on an obtained pulse wave signal and the updated bio-information estimation model. obtaining a bio-signal associated with an object of interest, wherein the bio-signal includes a pulse wave signal; extracting a first feature from each of a plurality of points of the pulse wave signal, wherein the first feature has a high degree of correlation with the bio-information; extracting a second feature from each of the plurality of points of the pulse wave signal, wherein the second feature has a high degree of correlation with the bio-information; identifying a first degree of change in the first feature at each point relative to a first feature at a reference point; identifying a second degree of change in the second feature at each point relative to a second feature at the reference point, wherein the identifying of the first degree of change in the first feature and the second degree of change in the second feature respectively comprise setting each of the plurality of points as the reference point in turn and calculating the first degree of change in the first feature and the second degree of change in the second feature at each point relative to each reference point; determining a calibration point of a bio-information estimation model from among the plurality of points of the bio-signal based on the first degree of change in the first feature and the second degree of change in the second feature, wherein the determining of the calibration point comprises calculating a sum of residual between the first degree of change in the first feature and the second degree of change in the second feature at each point for each reference point and determining a reference point at which the calculated sum of residual has a minimum value as the calibration point; updating the bio-information estimation model based on the first feature and the second feature at the determined calibration point; and estimating the bio-information based on an obtained pulse wave signal and the updated bio-information estimation model.