System and method for determining human emotion by analyzing eye properties

• US 20070066916A1
• Filed: 09/18/2006
• Published: 03/22/2007
• Est. Priority Date: 09/16/2005
• Status: Abandoned Application

• Current Assignee: iMotions - Emotion Technology A/S
• Original Assignee: iMotions - Emotion Technology A/S
• Inventors: Lemos, Jakob
• Application Number:
  US11/522,476
• Publication Number:
  US 20070066916A1
• Time in Patent Office: Days
• US Class Current: 600/558
• CPC Class Codes: A61B 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/163 by tracking eye movement, gaze, or pupil change
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 40/63 for local operation

Abstract

The invention relates to a system and method for determining human emotion by analyzing a combination of eye properties of a user including, for example, pupil size, blink properties, eye position (or gaze) properties, or other properties. The system and method may be configured to measure the emotional impact of various stimuli presented to users by analyzing, among other data, the eye properties of the users while perceiving the stimuli. Measured eye properties may be used to distinguish between positive emotional responses (e.g., pleasant or “like”), neutral emotional responses, and negative emotional responses (e.g., unpleasant or “dislike”), as well as to determine the intensity of emotional responses.

Claims

1. A computer implemented method for detecting human emotion in response to presentation of one or more stimuli, based on at least measured physiological data, the method comprising:

presenting at least one stimulus to a subject;

collecting data including physiological data from the subject, the physiological data including pupil data, blink data, and gaze data;

performing eye feature extraction processing to determine eye features of interest from the collected physiological data; and

analyzing the eye features of interest to identify one or more emotional components of a subject'"'"'s emotional response to the at least one stimulus.

2. The method of claim 1, wherein the method further comprises the step of using the eye features of interest to determine instinctive emotional components of the subject'"'"'s response to the at least one stimulus.

3. The method of claim 1, wherein the method for analyzing further includes applying rules-based analysis to identify one or more emotional components of the subject'"'"'s emotional response.

4. The method of claim 1, wherein the step of analyzing further includes applying rules-based analysis to eye features of interest corresponding to the subject'"'"'s age to identify one or more emotional components of the subject'"'"'s emotional response.

5. The method of claim 1, wherein the step of analyzing further includes applying rules-based analysis corresponding to the subject'"'"'s gender to identify one or more emotional components of the subject'"'"'s emotional response.

6. The method of claim 1, wherein the step of analyzing further includes applying statistical analysis to identify one or more emotional components of subject'"'"'s emotional response.

7. The method of claim 1, wherein the method further comprises the step of using the eye features of interest to determine rational emotional components of the subject'"'"'s response to the at least one stimulus.

8. The method of claim 1, wherein the emotional components include emotional valence, emotional arousal, emotion category, and emotion type.

9. The method of claim 1, wherein the method further comprises the step of performing data error detection and correction on the collected physiological data.

10. The method of claim 9, wherein the step of data error detection and correction comprises determination and removal of outlier data.

11. The method of claim 9, wherein the step of data error detection and correction comprises one or more of pupil dilation correction;

blink error correction; and

gaze error correction.

12. The method of claim 9, wherein the method further comprises the step of storing corrected data and wherein the step of performing eye feature extraction processing is performed on the stored corrected data.

13. The method of claim 1, wherein the method further comprises performing a calibration operation during a calibration mode, the calibration operation including the steps of:

a. calibrating one or more data collection sensors; and

b. determining a baseline emotional level for a subject.

14. The method of claim 13, wherein the step of calibrating one or more data collection sensors includes calibrating to environment ambient conditions.

15. The method of claim 1, wherein the data collection is performed at least in part by an eye-tracking device, and the method further comprises the step of calibrating the eye-tracking device to a subject'"'"'s eyes prior to data collection.

16. The method of claim 1, further comprising the step of presenting one or more stimuli for inducing, in a subject, a desired emotional state, prior to data collection.

17. The method of claim 1, wherein the step of presenting the at least one stimulus to a subject further comprises presenting a predetermined set of stimuli to a subject and the data collection step comprises separately for each stimulus in the set, the stimulus and the data collected when the stimulus is presented.

18. The method of claim 1 further comprising the step of creating a user profile for a subject to assist in the step of analyzing eye features of interest, wherein the user profile include the subject'"'"'s eye-related data, demographic information, or calibration information.

19. The method of claim 1, wherein the step of collecting data further comprises collecting environmental data.

20. The method of claim 1, wherein the step of collecting data comprises collecting eye data at a predetermined sampling frequency over a period of time.

21. The method of claim 1, wherein the eye feature data relates to pupil data for pupil size, pupil size change data and pupil velocity of change data.

22. The method of claim 1, wherein the eye feature data relates to pupil data for the time it takes for dilation or contraction to occur in response to a presented stimulus.

23. The method of claim 1 wherein the eye feature data relates to pupil data for pupil size before and after a stimulus is presented to the subject.

24. The method of claim 1, wherein the eye feature data relates to blink data for blink frequency, blink duration, blink potention, and blink magnitude data.

25. The method of claim 1, wherein the eye feature data relates to gaze data for saccades, express saccades and nystagmus data.

26. The method of claim 1, wherein the eye feature data relates to gaze data for fixation time, location of fixation in space, and fixation areas.

27. The method of claim 2, wherein the step of determining the instinctive emotional components further comprises applying a rules-based analysis to the features of interest to determine an instinctual response.

28. The method of claim 2, wherein the step of determining the instinctive emotional components further comprises applying a statistical analysis to the features of interest to determine an instinctual response.

29. The method of claim 1, further comprising the step of mapping emotional components to an emotional model.

30. The method of claim 2, further comprising the step of applying the instinctive emotional components to an instinctive emotional model.

31. The method of claim 7, further comprising the step of applying the rational emotional components to a rational emotional model.

32. The method of claim 1, wherein the method further comprises the step of using the eye features of interest to determine instinctual emotional components and rational emotional components of the subject'"'"'s response to the at least one stimulus.

33. The method of claim 32, further comprising the step of applying the instinctive emotional components to an instinctive emotional model and applying the rational emotional components to a rational emotional model.

34. The method of claim 1, wherein the method further comprises the step of using the eye features of interest to determine one or more initial emotional components of a subject'"'"'s emotional response that correspond to an initial period of time that the at least one stimulus is perceived by the subject.

35. The method of claim 34, wherein the method further comprises the step of using the eye features of interest to determine one or more secondary emotional components of a subject'"'"'s emotional response that correspond to a time period after the initial period of time.

36. The method of claim 34, wherein the method further comprises the step of using the eye features of interest to determine one or more secondary emotional components of a subject'"'"'s emotional response that correspond to a time period after the initial period of time and further based on the one or more initial emotional components.

37. The method of claim 1, further comprising the step of synchronizing a display of emotional components of the subject'"'"'s emotional response simultaneously with the corresponding stimulus that provoked the emotional response.

38. The method of claim 1, further comprising the step of synchronizing a time series display of emotional components of the subject'"'"'s emotional response individually with the corresponding stimulus that provoked the emotional response.

39. The method of claim 1, further comprising the step of applying the emotional components to an emotional adjective database to determine a label for the emotional response based on an emotional response matrix.

40. The method of claim 1, further comprising the step of aggregating for two of more subjects, the emotional response of the subjects to at least one common stimulus.

41. The method of claim 1 further comprising the step of collecting data regarding at least one other physiological property of the subject other than eye data and using the collected data regarding the at least one other physiological property to assist in determining an emotional response of the subject.

42. The method of claim 1 further comprising the step of collecting facial expression data of the subject in response to the presentation of a stimulus and using the collected facial expression data to assist in determining an emotional response of the subject.

43. The method of claim 1 further comprising the step of collecting galvanic skin response data of the subject in response to the presentation of a stimulus and using the collected skin response data to assist in determining an emotional response of the subject.

44. The method of claim 1 wherein the stimuli comprise visual stimuli and at least one non-visual stimulus.

45. The method of claim 29 further comprising the step of outputting the emotional components including whether the subject had a positive emotional response or a negative emotional response, and the magnitude of the emotional response.

46. The method of claim 1 further comprising the step of determining if a subject had a non-neutral emotional response, and if so, outputting an indicator of the emotional response including whether the subject had a positive emotional response or a negative emotional response, and the magnitude of the emotional response.

47. The method of claim 1 further comprising the step of using the one or more identified emotional components of the subject'"'"'s emotional response as user input in an interactive session.

48. The method of claim 1 further comprising the step of recording in an observational session, the one or more identified emotional components of the subject'"'"'s emotional response.

49. The method of claim 1 further comprising the step of outputting an indicator of the emotional response including an emotional valence and an emotional arousal, wherein the emotional arousal is represented as a number based on a predetermined numeric scale.

50. The method of claim 1, further comprising the step of outputting an indicator relating to accuracy of an emotional response, wherein the accuracy is presented as a number or a numerical range based on a predetermined numerical scale.

51. The method of claim 1 further comprising the step of outputting an indicator of an emotional response including an instinctive emotional response and a rational emotional response.

52. The method of claim 1 further comprising the step of outputting an indicator of an emotional response including an instinctive emotional response and a secondary emotional response.

53. The method of claim 1 further comprising the step of outputting emotional response maps, where the maps are displayed simultaneously and in juxtaposition with stimuli that caused the emotional response.

54. The method of claim 1, further including the step of prompting the subject to respond to verbal or textual inquiries about a given stimulus while the stimulus is presented to the subject.

55. The method of claim 1 further including the step of prompting the subject to respond to verbal or textual inquiries about a given stimulus after the stimulus has been displayed to the subject for a predetermined time.

56. The method of claim 54, further including the step of recording the time it takes the subject to respond to a prompt.

57. The method of claim 1, wherein the at least one stimulus is a customized stimulus for presentation to the subject for conducting a survey.

58. A computerized system for detecting human emotion in response to presentation of one or more stimuli, based on at least measured physiological data, the system including:

a stimulus module for presenting at least one stimulus to a subject;

a data collection means for collecting data including physiological data from the subject, the physiological data including pupil data, blink data, and gaze data;

a data processing module for performing eye feature extraction processing to determine eye features of interest from the collected physiological data; and

an emotional response analysis module for analyzing the eye features of interest to identify one or more emotional components of a subject'"'"'s emotional response.