A facial recognition method, comprising: triggering facial recognition; when the facial recognition fails, detecting a first status of a mobile terminal, wherein the first status includes a tilt angle of the mobile terminal, or a distance between the mobile terminal and the face of the user, or a brightness of an environment around the mobile terminal; providing a posture adjustment prompt based on the first status, wherein the providing a posture adjustment prompt based on the first status comprises: analyzing, by the mobile terminal, a cause of the facial recognition failure based on the first status, finding, in a preset database, a solution corresponding to the cause, and providing the posture adjustment prompt based on the solution; detecting a second status of the mobile terminal and the corresponding changes relative to the first status, wherein the second status includes a second tilt angle of the mobile terminal, or a second distance between the mobile terminal and the face of the user, or a second brightness of an environment around the mobile terminal; and determining, based on the second status, whether a posture adjustment occurs, wherein the determining, based on the second status, whether a posture adjustment occurs comprises: determining whether a change of the second status relative to the first status is the same as content of the posture adjustment prompt; and if the posture adjustment occurs, automatically triggering the facial recognition. triggering facial recognition; when the facial recognition fails, detecting a first status of a mobile terminal, wherein the first status includes a tilt angle of the mobile terminal, or a distance between the mobile terminal and the face of the user, or a brightness of an environment around the mobile terminal; providing a posture adjustment prompt based on the first status, wherein the providing a posture adjustment prompt based on the first status comprises: analyzing, by the mobile terminal, a cause of the facial recognition failure based on the first status, finding, in a preset database, a solution corresponding to the cause, and providing the posture adjustment prompt based on the solution; detecting a second status of the mobile terminal and the corresponding changes relative to the first status, wherein the second status includes a second tilt angle of the mobile terminal, or a second distance between the mobile terminal and the face of the user, or a second brightness of an environment around the mobile terminal; and determining, based on the second status, whether a posture adjustment occurs, wherein the determining, based on the second status, whether a posture adjustment occurs comprises: determining whether a change of the second status relative to the first status is the same as content of the posture adjustment prompt; and if the posture adjustment occurs, automatically triggering the facial recognition. analyzing, by the mobile terminal, a cause of the facial recognition failure based on the first status, finding, in a preset database, a solution corresponding to the cause, and providing the posture adjustment prompt based on the solution; detecting a second status of the mobile terminal and the corresponding changes relative to the first status, wherein the second status includes a second tilt angle of the mobile terminal, or a second distance between the mobile terminal and the face of the user, or a second brightness of an environment around the mobile terminal; and determining, based on the second status, whether a posture adjustment occurs, wherein the determining, based on the second status, whether a posture adjustment occurs comprises: determining whether a change of the second status relative to the first status is the same as content of the posture adjustment prompt; and if the posture adjustment occurs, automatically triggering the facial recognition. determining whether a change of the second status relative to the first status is the same as content of the posture adjustment prompt; and if the posture adjustment occurs, automatically triggering the facial recognition.