Machine learning collaboration techniques
US-2024420212-A1 · Dec 19, 2024 · US
US10062097B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10062097-B2 |
| Application number | US-201615169264-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 31, 2016 |
| Priority date | May 29, 2015 |
| Publication date | Aug 28, 2018 |
| Grant date | Aug 28, 2018 |
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Devices, systems, and methods include a three-dimensional (3D) scanning element, an electronic data storage configured to store a database including fields for 3D scan data and demographic information, a processor, and a user interface. In an example, the processor obtains 3D scan data of a body part of a subject from the 3D scanning element, analyzes the 3D scan data for incomplete regions, generate a composite 3D image of 3D scan data from the database based on similarities of demographic information, and overlays composite 3D image regions corresponding to incomplete regions on the 3D scan data.
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What is claimed is: 1. A system, comprising: a three-dimensional (3D) scanning element; an electronic data storage configured to store a database including fields for 3D scan data and 3D models of articles of apparel; a processor, coupled to the 3D scanning element and the electronic data storage, configured to: obtain 3D scan data of a body part of a subject from the 3D scanning element; compare the 3D scan data against one of the 3D models; and generate a heat diagram indicative of a degree of interference of the article of apparel over regions of the body part based on the comparison of the 3D scan data a plurality of regions of the 3D model; and generate a recommendation for an article of apparel corresponding to the one of the 3D models based on the degree of interference, wherein the recommendation is a positive recommendation if the degree of interference in a first one of the plurality of regions does not exceed a predetermined maximum interference and if a predetermined number of regions do not have a degree of interference less than a predetermined maximum percentage of the predetermined number; and a user interface, coupled to the processor, configured to display the heat diagram. 2. The system of claim 1 , wherein the processor is further configured to iteratively generate a plurality of heat diagrams each based on a different one of the 3D models and to generate the recommendation based on one of the heat diagrams having a positive recommendation. 3. The system of claim 2 , wherein the processor is further configured to cause the user interface to display the heat diagram corresponding to 3D model as recommended. 4. The system of claim 2 , wherein the processor is configured to generate the recommendation further based on a preference of the subject for an overall tightness characteristic. 5. A non-transitory computer readable medium comprising instructions which, when implemented by a processor, cause the processor to perform operations comprising: obtain 3D scan data of a body part of a subject from a 3D scanning element; compare the 3D scan data against one of a plurality of 3D models; generate a heat diagram indicative of a degree of interference of an article of apparel over regions of the body part based on the comparison of the 3D scan data to a plurality of regions of the 3D model; generate, as a recommendation, a positive recommendation for an article of apparel corresponding to the 3D model if the degree of interference in a first one of the plurality of regions does not exceed a predetermined maximum interference and if a predetermined number of regions do not have a degree of interference less than a predetermined maximum percentage of the predetermined number; and cause a user interface to display the heat diagram and the recommendation. 6. The computer readable medium of claim 5 , wherein the instructions further cause the processor to: iteratively generate a plurality of heat diagrams each based on a different one of the 3D models and to generate the recommendation based on one of the heat diagrams having a positive recommendation. 7. The computer readable medium of claim 6 , wherein the instructions further cause the processor to: cause the user interface to display the heat diagram corresponding to 3D model as recommended. 8. The computer readable medium of claim 7 , wherein the instructions further cause the processor to: generate the recommendation further based on a preference of the subject for an overall tightness characteristic. 9. A method, comprising: obtaining, with a processor, 3D scan data of a body part of a subject from a 3D scanning element; comparing, with the processor, the 3D scan data against one of a plurality of 3D models; generating, with the processor, a heat diagram indicative of a degree of interference of an article of apparel over regions of the body part based on the comparison of the 3D scan data to a plurality of regions of the 3D model; generating, as a recommendation, a positive recommendation if the degree of interference in a first one of the plurality of regions does not exceed a predetermined maximum interference and if a predetermined number of regions do not have a degree of interference less than a predetermined maximum percentage of the predetermined number; and causing, with the processor, a user interface to display the heat diagram and the recommendation. 10. The method of claim 9 , further comprising: iteratively generating, with the processor, a plurality of heat diagrams each based on a different one of the 3D models and to generate the recommendation based on one of the heat diagrams having a positive recommendation. 11. The method of claim 10 , wherein causing the user interface to display the heat diagram is corresponding to 3D model as recommended.
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