# US 11,113,453 B1 · Method and apparatus for improved presentation of information > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,113,453 B1 - Document ID: US11113453B1 - Status: Granted - Kind: B1 - Application number: 17/187,804 - Filed: 2021-02-28 - Granted: 2021-09-07 - Earliest claimed: 2020-12-30 - Applicants: Robert Edwin Douglas; David Byron Douglas; Kathleen Mary Douglas - Inventors: Robert Edwin Douglas; David Byron Douglas; Kathleen Mary Douglas - Web page: https://patentgrep.com/patent/US11113453B1 ## CPC - G06F 3/011: {Arrangements for interaction with the human body, e.g. for user immersion in virtual reality (blind teaching G09B21/00)} - G06F 3/013: {Eye tracking input arrangements (G06F3/015 takes precedence)} - G06F 18/214: Generating training patterns; Bootstrap methods, e.g. bagging or boosting - G06F 18/41: {Interactive pattern learning with a human teacher} - G06F 40/106: Display of layout of documents; Previewing - G06F 40/14: Tree-structured documents (parsing G06F40/205; validation G06F40/226) - G06T 11/10: Texturing; Colouring; Generation of textures or colours (retouching, inpainting or scratch removal G06T5/77) - G06T 11/60: Creating or editing images; Combining images with text - G06V 30/40: Document-oriented image-based pattern recognition - G06V 40/176: {Dynamic expression} - G16H 20/10: relating to drugs or medications, e.g. for ensuring correct administration to patients - G16H 30/40: for processing medical images, e.g. editing - G06F 2203/011: Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns - G06N 20/00: Machine learning - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract A method and apparatus comprising generating a dynamic content blocker. An image, which may be comprised of words, symbols and pictures, is segmented into items. Each item is analyzed by an artificial intelligence algorithm. Items can be determined by the AI algorithm to be of non-interest. The dynamic content blocker consists of a blocking image, which is dynamically placed over the items of non-interest, as determined by the AI. If the AI determines that the items are of interest, then these items will remain visible to the user. This will therefore generate a more eye-appealing image for the user and improve the presentation of imagery to a user. ## Claims ### Claim 1 A method comprising: generating a dynamic content blocker wherein said dynamic content blocker filters image content comprising at least one of image(s), picture(s), system(s), a word or text, wherein said dynamic content blocker comprises a blocker image that uses a filtering algorithm that changes over time points, and wherein at each time point in said time points, an analysis of said image content on a display is performed, wherein said image content contains item(s) of interest and item(s) of non-interest, wherein said analysis of said image content on said display evaluates for item(s) of non-interest to said user, wherein said analysis comprises an artificial intelligence algorithm for continued feedback, and wherein said artificial intelligence algorithm learns based on a user's facial expression upon a gaze at on items, and said blocker image is generated, wherein said blocker image is configured to cover said item(s) of non-interest; and displaying, at each time point in said time points, said dynamic content blocker and said image content on said display. ### Claim 2 (depends on 1) The method of claim 1 further comprising wherein said artificial intelligence algorithm learns based on said user feedback of items. ### Claim 3 (depends on 1) The method of claim 1 further comprising wherein said artificial intelligence algorithm learns based on an amount of time that said user spends on an item. ### Claim 4 (depends on 1) The method of claim 1 further comprising wherein said artificial intelligence algorithm learns based on whether the link is sent to another person. ### Claim 5 (depends on 1) The method of claim 1 further comprising wherein said dynamic content blocker has an appearance specified by a user. ### Claim 6 (depends on 1) The method of claim 1 further comprising wherein said dynamic content blocker has an appearance specified by an AI algorithm. ### Claim 7 (depends on 1) The method of claim 1 further comprising wherein said dynamic content blocker has an appearance of a homogeneous grayscale. ### Claim 8 (depends on 1) The method of claim 1 further comprising wherein said dynamic content blocker has an appearance specified by a homogeneous color. ### Claim 9 (depends on 1) The method of claim 1 further comprising wherein said dynamic content blocker has an appearance that matches the background of a webpage or an application. ### Claim 10 (depends on 1) The method of claim 1 further comprising moving at least one item of interest on said display. ### Claim 11 (depends on 1) The method of claim 1 further comprising changing the orientation of at least one item of interest on said display. ### Claim 12 (depends on 1) The method of claim 1 further comprising enlarging at least one item of interest on said display. ### Claim 13 (depends on 1) The method of claim 1 further comprising rearranging at least one item of interest. ### Claim 14 (depends on 1) The method of claim 1 further comprising causing links from items of non-interest to be inaccessible. ### Claim 15 (depends on 1) The method of claim 1 further comprising modifying the text of the items of interest. ### Claim 16 (depends on 1) The method of claim 1 further comprising displaying a predetermined notification to said user based on a classification of said content wherein said predetermined notification is a sound notification. ### Claim 17 (depends on 1) The method of claim 1 further comprising displaying a predetermined notification to said user based on a classification of said content wherein said predetermined notification is a haptic notification. ### Claim 18 (depends on 1) The method of claim 1 further comprising displaying a predetermined notification to said user based on a classification of said content wherein said predetermined notification is a visual notification.