Under Armour patented a method for operating a health tracking system that involves storing a food knowledge graph, matching descriptive strings to labels, and providing recommendations for similar, substitute, or healthier food options. The system utilizes machine learning and crowdsourced data to enhance user experience and promote healthier choices. GlobalData’s report on Under Armour gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Under Armour, Footwear 3D Printing was a key innovation area identified from patents. Under Armour's grant share as of January 2024 was 78%. Grant share is based on the ratio of number of grants to total number of patents.

Food knowledge graph for health tracking system

Source: United States Patent and Trademark Office (USPTO). Credit: Under Armour Inc

A recently granted patent (Publication Number: US11887719B2) outlines a method for operating a health tracking system that involves storing a food knowledge graph in a crowdsourced database. This graph consists of nodes representing consumable items and connections indicating relationships such as allergens, substitutes, and flavors. The method includes receiving data records from health tracking devices, matching descriptive strings to labels in the graph using a machine learning model, updating information fields in the data records, and providing relevant information to users based on their requests. Users can receive recommendations for similar items, substitutes, and healthier options in real-time, enhancing their ability to make informed dietary choices.

Furthermore, the patent details additional features such as updating generic names, brand names, and categories of consumable items in the data records. It also includes functionalities for identifying dietary substitutes, ingredients, and generating lists of related items based on user selections. The method leverages a database of data records to provide personalized recommendations to users, improving their overall health tracking experience. By utilizing a food knowledge graph and implementing machine learning algorithms, the system aims to enhance user engagement and promote healthier eating habits.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.