NHN has been granted a patent for a method that customizes content based on gaze recognition. The process involves capturing a user’s face image, generating gaze information, identifying a region of interest, and providing relevant product information based on detected items corresponding to the user’s gaze. GlobalData’s report on NHN 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 NHN, Video game monitoring was a key innovation area identified from patents. NHN's grant share as of June 2024 was 49%. Grant share is based on the ratio of number of grants to total number of patents.
Customized content delivery based on gaze recognition technology
The patent US12019798B2 outlines a method and device for delivering customized content based on gaze recognition technology. The method involves several steps, starting with capturing a face recognition image of a user using an image sensor. This image is then used to obtain a front view of the user's face, from which gaze information—specifically gaze direction and fixation time—is generated. The system determines a region of interest within a display area based on this gaze information, comparing the fixation time against a preset threshold. Once the region of interest is identified, the device detects items that match this area and outputs relevant product information to a separate display area. The system is designed to update the displayed content dynamically as the user's gaze changes, allowing for personalized interactions.
Additionally, the device incorporates advanced features such as utilizing deep learning neural networks to analyze the face recognition image and control the image sensor accordingly. It can handle multiple users by detecting individual face areas and generating separate gaze information for each user. The output display area is divided to present tailored product information for each user based on their gaze data. This innovative approach not only enhances user engagement but also optimizes the presentation of product information, making it more relevant and accessible based on real-time gaze tracking. The claims emphasize the integration of gaze recognition with machine learning techniques to improve the accuracy and responsiveness of the content delivery system.
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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.
