A method implemented by computer means, for evaluating a dynamic visual perception of an individual, comprising at least the steps of: a) displaying on a screen at least one moving pattern having a chosen visual complexity feature (Simp), said pattern being selected amongst a plurality of possible patterns having each a value, b) providing a human/machine interface (13, 14) enabling the individual to input a value corresponding to the pattern that the individual identifies on the screen, wherein an individual's input is considered positive if it matches the displayed pattern, and respectively negative if it does not match the displayed pattern, c) receiving through said human/machine interface the inputted value and comparing said inputted value to the value of the displayed pattern, d) repeating the preceding steps in order to count the number of successive positive comparisons at step c), and d1) if the number of successive positive comparisons exceeds a predetermined threshold, increasing said pattern visual complexity feature of a chosen amount, d2) otherwise, lowering said pattern visual complexity feature of a chosen amount, e) repeating step d) and lowering (Appl h, S3; S8) said chosen amount each time an alternation between steps d1) and d2) is detected, until a predetermined number of alternations (Alter) is detected, in order to determine a maximum visual complexity feature (Simp) of patterns that the individual can identify, said maximum visual complexity feature defining a quantitative value (THRS) of the dynamic visual perception of the individual. a) displaying on a screen at least one moving pattern having a chosen visual complexity feature (Simp), said pattern being selected amongst a plurality of possible patterns having each a value, b) providing a human/machine interface (13, 14) enabling the individual to input a value corresponding to the pattern that the individual identifies on the screen, wherein an individual's input is considered positive if it matches the displayed pattern, and respectively negative if it does not match the displayed pattern, c) receiving through said human/machine interface the inputted value and comparing said inputted value to the value of the displayed pattern, d) repeating the preceding steps in order to count the number of successive positive comparisons at step c), and d1) if the number of successive positive comparisons exceeds a predetermined threshold, increasing said pattern visual complexity feature of a chosen amount, d2) otherwise, lowering said pattern visual complexity feature of a chosen amount, d1) if the number of successive positive comparisons exceeds a predetermined threshold, increasing said pattern visual complexity feature of a chosen amount, d2) otherwise, lowering said pattern visual complexity feature of a chosen amount, e) repeating step d) and lowering (Appl h, S3; S8) said chosen amount each time an alternation between steps d1) and d2) is detected, until a predetermined number of alternations (Alter) is detected, in order to determine a maximum visual complexity feature (Simp) of patterns that the individual can identify, said maximum visual complexity feature defining a quantitative value (THRS) of the dynamic visual perception of the individual.