Artificial intelligence and/or virtual reality for activity optimization/personalization

Abstract

Optimizing and/or personalizing activities to a user through artificial intelligence and/or virtual reality.

What is claimed is: 
     
         1 . A retinal evaluation system for evaluating a subject, the system comprising:
 an imaging system configured to capture an image of the subject's retina; and   an image processor operatively connected to the imaging system to access the image taken by the imaging system, the image processor being configured to evaluate the image to determine a physical condition of the subject.   
     
     
         2 . The retinal evaluation system of  claim 1 , wherein the physical condition is the blood pressure of the subject. 
     
     
         3 . The retinal evaluation system of  claim 1 , wherein the imaging system comprises:
 an image sensor configured to capture the image of the subject's retina; and   a light source configured to shine light onto an eye of the subject.   
     
     
         4 . The retinal evaluation system of  claim 3 , wherein the image sensor is an infrared image sensor and the light source is an infrared light source. 
     
     
         5 . The retinal evaluation system of  claim 1 , wherein the imaging system further comprises an image creation system configured to present images to the eye of the user. 
     
     
         6 . The retinal evaluation system of  claim 1 , wherein the imaging system comprises:
 an infrared light source configured to shine infrared light onto the retina;   a light steering device operatively coupled to the infrared light source and configured to move the infrared light source such that the infrared light scans in a predetermined path over the retina; and   an infrared sensor configured to detect the infrared light reflected by the retina.   
     
     
         7 . The retinal evaluation system of  claim 1 , wherein the physical condition is a disease. 
     
     
         8 . The retinal evaluation system of  claim 7 , wherein the disease comprises one or more of the following: diabetes, edema on the brain, easy bleeding, swelling, hypertension, vasculitis, macular degeneration, Alzheimer's, and hypertension. 
     
     
         9 . The retinal evaluation system of  claim 7 , wherein the image processor comprises an artificial intelligence (AI) system configured to receive and analyze the image for predicting onset of the disease. 
     
     
         10 . The retinal evaluation system of  claim 9 , wherein the AI system implements one or more of predictive learning, machine learning, automated planning and scheduling, machine perception, computer vision, and affective computing to analyze the image. 
     
     
         11 . The retinal evaluation system of  claim 1 , further comprising at least one memory device storing retinal images relating to recognizing disease and storing processor-executable instructions that, when executed, configure the image processor to evaluate the image based on the stored retinal images for determining the physical condition of the subject. 
     
     
         12 . The retinal evaluation system of  claim 11 , wherein the processor-executable instructions, when executed, further configure the image processor to identify correlations between the image and the stored retinal images for determining the physical condition of the subject. 
     
     
         13 . A retinal evaluation system for evaluating a subject, the system comprising:
 an imaging system configured to capture an image of the subject's retina; and   an artificial intelligence (AI) system operatively connected to the imaging system to access the image taken by the imaging system, the AI system configured to receive and analyze the image for predicting onset of a disease of the subject.   
     
     
         14 . The retinal evaluation system of  claim 13 , wherein the imaging system comprises:
 an image sensor configured to capture the image of the subject's retina; and   a light source configured to shine light onto an eye of the subject.   
     
     
         15 . The retinal evaluation system of  claim 14 , wherein the image sensor is an infrared image sensor and the light source is an infrared light source. 
     
     
         16 . The retinal evaluation system of  claim 13 , wherein the imaging system further comprises an image creation system configured to present images to the eye of the user. 
     
     
         17 . The retinal evaluation system of  claim 13 , wherein the imaging system comprises:
 an infrared light source configured to shine infrared light onto the retina;   a light steering device operatively coupled to the infrared light source and configured to move the infrared light source such that the infrared light scans in a predetermined path over the retina; and   an infrared sensor configured to detect the infrared light reflected by the retina.   
     
     
         18 . The retinal evaluation system of  claim 13 , wherein the disease condition comprises one or more of the following: diabetes, edema on the brain, easy bleeding, swelling, hypertension, vasculitis, macular degeneration, Alzheimer's, and hypertension. 
     
     
         19 . The retinal evaluation system of  claim 13 , wherein the AI system implements one or more of predictive learning, machine learning, automated planning and scheduling, machine perception, computer vision, and affective computing to analyze the image. 
     
     
         20 . The retinal evaluation system of  claim 13 , further comprising at least one memory device storing retinal images relating to recognizing disease and storing processor-executable instructions that, when executed, configure the AI system to evaluate the image based on the stored retinal images for determining the disease condition of the subject.