Abstract: Provided are a device and method for generating information on vertigo by tracking changes in eyes and head position, a computer-readable recording medium, and a computer program. More specifically, according to the device and method, movement of a patient's eyes and head is tracked in a video of the patient on the basis of a deep learning model to generate information on vertigo. The computer program for implementing the method is stored in the computer-readable recording medium.

Abstract: The present disclosure relates to an eye movement analysis method performed in an eye movement analysis apparatus, the eye movement analysis method including: receiving a facial image; obtaining an eye image that corresponds to a part of an eye that determines a midpoint position of the eye in the facial image; analyzing movement of the eye based on movement of the midpoint position in the facial image; and visually displaying a direction of the movement of the eye.

Abstract: The present invention relates to an eye movement measurement method including the steps of: (a) presenting standardized nystagmus test items and receiving am image of an eye in accordance with the standardized nystagmus test items; (b) recognizing a pupil and an iris from the image of the eye; (c) calculating amounts of horizontal and vertical changes of the pupil and an amount of torsional movement of the iris; (d) determining change values and orientations for three axis directions of the eye on the basis of the amounts of the horizontal and vertical changes of the pupil and the amount of the torsional movement of the iris; and (e) generating a diagnosis result for vertigo through deep learning modeling on the basis of the change values and orientations of the three axis directions of the eye.

Abstract: The present invention relates to an eye movement measurement method including the steps of: (a) presenting standardized nystagmus test items and receiving am image of an eye in accordance with the standardized nystagmus test items; (b) recognizing a pupil and an iris from the image of the eye; (c) calculating amounts of horizontal and vertical changes of the pupil and an amount of torsional movement of the iris; (d) determining change values and orientations for three axis directions of the eye on the basis of the amounts of the horizontal and vertical changes of the pupil and the amount of the torsional movement of the iris; and (e) generating a diagnosis result for vertigo through deep learning modeling on the basis of the change values and orientations of the three axis directions of the eye.