Method of identifying motion sickness

• US 8,831,278 B2
• Filed: 11/30/2010
• Issued: 09/09/2014
• Est. Priority Date: 11/30/2010
• Status: Expired due to Fees

• Current Assignee: Eastman Kodak Company
• Original Assignee: Eastman Kodak Company
• Inventors: Fedorovskaya, Elena A., Cok, Ronald S.
• Primary Examiner(s): YENTRAPATI, AVINASH
• Application Number:
  US12/956,275
• Publication Number:
  US 20120134543A1
• Time in Patent Office: 1,379 Days
• Field of Search: None
• US Class Current: 382/103
• CPC Class Codes: G02B 2027/014 comprising information/image processing systems
• CPC Class Codes: G02B 2027/0178 Eyeglass type eyeglass details G02C
• CPC Class Codes: G02B 27/017 Head mounted
• CPC Class Codes: G06V 10/70 using pattern recognition or machine learning optical pattern recognition or electronic computations therefor G06V10/88
• CPC Class Codes: H04N 13/144 for flicker reduction
• CPC Class Codes: H04N 13/344 with head-mounted left-right displays
• CPC Class Codes: H04N 2213/002 Eyestrain reduction by processing stereoscopic signals or controlling stereoscopic devices

Abstract

A method to determine the propensity of an image-sequence to induce motion sickness in a viewer includes using a processor to analyze the image-sequence information to extract salient static and dynamic visual features in the image sequence information, evaluating distribution of the salient static and dynamic features in the saliency map to estimate a probability of the image sequence causing the viewer to make eye and head movements and, using the estimated probability to determine the propensity that the image-sequence would induce motion sickness in a user as a consequence of the eye and head movements.

Claims

1. A method to determine the propensity of an image-sequence to induce motion sickness in a viewer, comprising:

using a processor to analyze the image-sequence information to extract salient static and dynamic visual features in the image sequence information, wherein the visual features represent objects;

using the processor to form a saliency map from the extracted salient static and dynamic objects;

evaluating distribution of the salient static and dynamic objects in the saliency map to estimate a probability of the image sequence causing the viewer to make eye and head movements, wherein the distribution evaluation includes evaluating the distance between pair-wise salient locations in the saliency map, evaluating the number of salient locations on the periphery of the map compared to the number of salient locations in the center of the map, evaluating the amplitude of a salient location, or evaluating the number of highly salient locations in the saliency map; and

using the estimated probability to determine the propensity that the image-sequence would induce motion sickness in a user as a consequence of the eye and head movements.

2. The method of claim 1, wherein audio information provided in association with the image sequence information is used in determining the propensity that an image-sequence would induce motion sickness in a viewer.

3. The method of claim 1, further including producing a signal based upon the determined propensity to identify a motion-sickness problem in the image sequence.

4. The method of claim 3 further including using the signal to modify the image-sequence information.

5. The method of claim 4 further including displaying the modified image-sequence information.

6. The method of claim 3 further including the viewer viewing the image sequence information, detecting and evaluating actual eye movements or head movements of the viewer during viewing to determine a motion problem, and modifying the image-sequence information using the signal.

7. The method of claim 4 wherein the modification of the image-sequence information is obtained by doing one or more of the following:

changing duration or presentation rate of the image-sequence information;

adding frames to the image-sequence information;

or

changing the display settings.

8. The method of claim 4, wherein the modification of the image-sequence information is a function of viewer-exposure duration to the image-sequence information.

9. The method of claim 4, wherein the viewer has viewer attributes and the modification is a function of the viewer attributes.

10. The method of claim 9, wherein the viewer attributes include age, gender, race, and individual susceptibility to motion sickness or to motion-sickness symptoms.

11. The method of claim 4, wherein the modification of the image-sequence information is based upon attributes or elements of a scene external to the viewer.

12. The method of claim 11, wherein the scene external to the viewer is a scene that is in the viewer'"'"'s line of sight or in the periphery of the viewer'"'"'s line of sight.

13. The method of claim 4, wherein the modification of the image-sequence information includes the modification, addition or removal of audio information.

14. The method of claim 13, wherein the audio information is from the viewer'"'"'s environment.

15. The method of claim 1, further comprising capturing external environment information and using a processor to analyze the external environment information to extract salient static and dynamic visual features in the external environment information.