TECHNIQUE FOR CONTROLLING VIRTUAL IMAGE GENERATION SYSTEM USING EMOTIONAL STATES OF USER
A method of operating a virtual image generation system comprises allowing an end user to interact with a three-dimensional environment comprising at least one virtual object, presenting a stimulus to the end user in the context of the three-dimensional environment, sensing at least one biometric parameter of the end user in response to the presentation of the stimulus to the end user, generating biometric data for each of the sensed biometric parameter(s), determining if the end user is in at least one specific emotional state based on the biometric data for the each of the sensed biometric parameter(s), and performing an action discernible to the end user to facilitate a current objective at least partially based on if it is determined that the end user is in the specific emotional state(s).
1 . A method of operating an augmented reality (AR) display system that includes a wearable display device, the method comprising:
generating a biometric data for a biometric parameter of a user;
determining an emotional state of the user based on the biometric data for the biometric parameter; and
wherein determining an emotional state of the user comprises
retrieving a reference biometric data from a custom emotional state profile of the user, the custom emotional state profile of the user comprising biometric data indicating respective emotional states experienced by the user, and
comparing the biometric data to the reference biometric data correlated to the emotional state using an artificial neural network.
2 . The method of claim 1 , further comprising determining the emotional state of the user for a duration, wherein at least one additional virtual object is presented through the AR display system based at least partially on determining that the user is in the emotional state for the duration.
3 . The method of claim 1 , wherein the emotional state comprises a plurality of different emotional states.
4 . The method of claim 1 , wherein the biometric parameter of the user is sensed at a plurality of different times in response to presenting a stimulus, and the biometric data is generated at these different times.
5 . The method of claim 4 , wherein the stimulus is visually presented to the user through the wearable display device.
6 . The method of claim 1 , wherein the biometric parameter comprises a plurality of different biometric parameters, and
wherein determining the emotional state of the user comprises performing a pattern recognition analysis on the biometric data using the artificial neural network.
7 . The method of claim 1 , wherein the biometric parameter comprises at least one facial expression.
8 . The method of claim 7 , wherein the at least one facial expression is one or both of an attitude of a mouth and crow's feet around eyes of the user, and
wherein the emotional state comprises happiness.
9 . The method of claim 1 , wherein the biometric parameter comprises at least one of a facial expression, hunching of shoulders, respiration rate, heart rate, body temperature, blood pressure, frequency and/or location of hand movements, frequency and/or location of body twitches, and elapsed time between eye movements.
10 . The method of claim 1 , wherein the biometric parameter comprises at least one micro-expression.
11 . The method of claim 1 , wherein the emotional state comprises at least one of anger, contempt, disgust, fear, happiness, sadness, surprise, confusion, shame, attentiveness, exhaustion, relaxation, frustration, boredom, embarrassment.
12 . The method of claim 1 , wherein the artificial neural network is a pattern recognition classifier.
13 . The method of claim 1 , wherein the biometric data for one of the biometric parameter is a biometric multi-dimensional data vector, the reference biometric data comprises a reference biometric multi-dimensional data vector, and comparing the biometric data to the reference biometric data comprises performing a correlation function between the biometric multi-dimensional data vector and the reference biometric multi-dimensional data vector using the artificial neural network.
14 . The method of claim 1 , further comprising:
rendering a plurality of synthetic image frames of a three-dimensional environment; and
sequentially displaying the plurality of synthetic image frames to the user through the wearable display device,
wherein the plurality of synthetic image frames are projected from a transparent display surface in a field of view of the user via a frame structure mounted to a head of the user, and
wherein the plurality of synthetic image frames are superimposed over a real scene visualized by the user.
15 . The method of claim 4 , wherein the AR display system also includes a speaker coupled to the wearable display device, and
wherein the stimulus is aurally presented through the speaker.
16 . The method of claim 4 , wherein the AR display system also includes a mechanical actuator, and
wherein the stimulus is tactilely presented through the mechanical actuator.
17 . The method of claim 1 , further comprising sensing the biometric parameter of the user using at a sensor attached to the wearable display device.
18 . The method of claim 17 , wherein the sensor comprises a rearward facing camera coupled to the wearable display device, and
wherein the biometric parameter comprises a facial movement of the user.
19 . The method of claim 17 , wherein the sensor comprises an accelerometer coupled to a body part of the user, and
wherein the biometric parameter comprises a movement of the body part of the user.