# US 2025/0095183 A1 · Image-Based Adjustment of Display Content in a Head-Mounted User Device > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0095183 A1 - Document ID: US20250095183A1 - Status: Published application - Kind: A1 - Application number: 18/291,789 - Filed: 2021-07-30 - Published: 2025-03-20 - Earliest claimed: 2021-07-30 - Assignees: Hewlett-Packard Development Company, L.P. - Applicants: Hewlett-Packard Development Company, L.P. - Inventors: Christopher Allan Steven; Andre da Fonte Lopes da Silva; Derek Kyle Joseph Kanas - Web page: https://patentgrep.com/patent/US20250095183A1 ## CPC - G06F 3/011: {Arrangements for interaction with the human body, e.g. for user immersion in virtual reality (blind teaching G09B21/00)} - G06T 7/70: Determining position or orientation of objects or cameras (camera calibration G06T7/80) - G06F 3/012: {Head tracking input arrangements} - G06N 20/00: Machine learning - G06T 2207/20081: Training; Learning - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract In some examples, a computer receives an image of a head-mounted user device that is separate from the computer, the head-mounted user device including a display device. The computer determines, based on the image of the head-mounted user device, a position of the head-mounted user device, and based on the determined position of the head-mounted user device, adjusts display content in the display device of the head-mounted user device. ## Claims ### Claim 1 A non-transitory machine-readable storage medium comprising instructions that upon execution cause a computer to: receive an image of a head-mounted user device that is separate from the computer, the head-mounted user device including a display device; determine, based on the image of the head-mounted user device, a position of the head-mounted user device; and based on the determined position of the head-mounted user device, adjust display content in the display device of the head-mounted user device. ### Claim 2 (depends on 1) The non-transitory machine-readable storage medium of claim 1, wherein the determining of the position of the head-mounted user device based on the image of the head-mounted user device is based on a machine learning model. ### Claim 3 (depends on 2) The non-transitory machine-readable storage medium of claim 2, wherein the instructions upon execution cause the computer to: train the machine learning model using a training data set comprising a labelled representation of images of the head-mounted user device. ### Claim 4 (depends on 3) The non-transitory machine-readable storage medium of claim 3, wherein the labelled representation of the images of the head-mounted user device comprises labels relating to positions of the head-mounted user device. ### Claim 5 (depends on 4) The non-transitory machine-readable storage medium of claim 4, wherein the labels relating to the positions of the head-mounted user device comprise labels relating to locations in a three-dimensional space. ### Claim 6 (depends on 4) The non-transitory machine-readable storage medium of claim 4, wherein the labels relating to the positions of the head-mounted user device comprise labels relating to yaw, pitch, and roll of the head-mounted user device. ### Claim 7 (depends on 1) The non-transitory machine-readable storage medium of claim 1, wherein the determining of the position of the head-mounted user device comprises determining a distance of the head-mounted user device along a distance axis. ### Claim 8 (depends on 1) The non-transitory machine-readable storage medium of claim 1, wherein the determining of the position of the head-mounted user device comprises determining a location of the head-mounted user device in an X-Y plane. ### Claim 9 (depends on 1) The non-transitory machine-readable storage medium of claim 1, wherein the determining of the position of the head-mounted user device comprises determining a rotation of the head-mounted user device. ### Claim 10 (depends on 1) The non-transitory machine-readable storage medium of claim 1, wherein the head-mounted user device comprises a sensor to obtain a measurement based on a movement of the head-mounted user device, and wherein the instructions upon execution cause the computer to: receive, at the computer, measurement data from the sensor, wherein the determining of the position of the head-mounted user device is further based on the measurement data. ### Claim 11 (depends on 1) The non-transitory machine-readable storage medium of claim 1, wherein the adjusting of the display content in the display device of the head-mounted user device based on the determined position of the head-mounted user device comprises adjusting an augmented reality content or virtual reality content. ### Claim 12 A computer comprising: a communication interface to communicate with a head-mounted user device comprising a display device; a processor; and a non-transitory storage medium storing instructions executable on the processor to: receive an image of the head-mounted user device; determine, based on the image of the head-mounted user device and using a machine learning model, a position of the head-mounted user device; and based on the determined position of the head-mounted user device, adjust a display content in the display device of the head-mounted user device, wherein the display content is provided from the computer to the head-mounted user device through the communication interface. ### Claim 13 (depends on 12) The computer of claim 12, wherein the instructions are executable on the processor to: train the machine learning model using a training data set comprising a labelled representation of images of the head-mounted user device. ### Claim 14 A method of a computer, comprising: training a machine learning model using a training data set comprising a labelled representation of images of a head-mounted user device that is separate from the computer, wherein the labelled representation of the images comprises labels relating to positions of the head-mounted user device; determining, using the trained machine learning model, a position of the head-mounted user device based on an image of the head-mounted user device captured by a camera; adjusting, based on the determined position, image content for display at a display device of the head-mounted user device; and after the adjusting, sending the image content to the head-mounted user device for display in the display device of the head-mounted user device. ### Claim 15 (depends on 14) The method of claim 14, further comprising: detecting a portion of the head-mounted user device based on the image of the head-mounted user device, wherein the portion includes the display device.