A method of gait characterization comprising the steps of: • reception of a motion measurement signal from a previously measured target subject, • comparison of at least a portion of the measurement signal with a plurality of reference signals, the plurality of reference signals comprising at least one motion signal previously measured on a reference subject different from the target subject, each comparison of the measurement signal with a reference signal producing a similarity coefficient representative of a probability of similarity between the compared signals, in which a first similarity coefficient forming a first local maximum is produced by comparing a first portion of the measurement signal with a reference signal, and a second similarity coefficient forming a second local maximum is produced by comparing a second portion of the measurement signal with the same reference signal as the first similarity coefficient, the second portion being different from the first portion, selecting at least one local maximum of interest from the similarity coefficients produced, in which: ∘ a local maximum among the produced similarity coefficients is not selected as the local maximum of interest when its value is below a predetermined threshold (λ), so as to eliminate local maxima with low similarity probability values, ∘ the first local maximum is selected, then the second local maximum is not selected when the second portion temporally overlaps the first portion, wherein the plurality of reference signals comprises: • at least one movement signal previously measured on a reference subject suffering from a gait disorder, and • at least one motion signal previously measured on a healthy reference subject. • reception of a motion measurement signal from a previously measured target subject, • comparison of at least a portion of the measurement signal with a plurality of reference signals, the plurality of reference signals comprising at least one motion signal previously measured on a reference subject different from the target subject, each comparison of the measurement signal with a reference signal producing a similarity coefficient representative of a probability of similarity between the compared signals, in which a first similarity coefficient forming a first local maximum is produced by comparing a first portion of the measurement signal with a reference signal, and a second similarity coefficient forming a second local maximum is produced by comparing a second portion of the measurement signal with the same reference signal as the first similarity coefficient, the second portion being different from the first portion, selecting at least one local maximum of interest from the similarity coefficients produced, in which: ∘ a local maximum among the produced similarity coefficients is not selected as the local maximum of interest when its value is below a predetermined threshold (λ), so as to eliminate local maxima with low similarity probability values, ∘ the first local maximum is selected, then the second local maximum is not selected when the second portion temporally overlaps the first portion, ∘ a local maximum among the produced similarity coefficients is not selected as the local maximum of interest when its value is below a predetermined threshold (λ), so as to eliminate local maxima with low similarity probability values, ∘ the first local maximum is selected, then the second local maximum is not selected when the second portion temporally overlaps the first portion, • at least one movement signal previously measured on a reference subject suffering from a gait disorder, and • at least one motion signal previously measured on a healthy reference subject.