HTC had six patents in artificial intelligence during Q2 2024. HTC Corp filed a patent for a head-mounted display that can determine user postures and gestures based on real-time images and inertial measurement parameters. Another patent involves a multi-label classification method for annotating medical images with abnormal features, where difficulty levels of the images are estimated and used to train a classification model in different curriculum learning rounds. GlobalData’s report on HTC gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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HTC had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Head-mounted display, controlling method and non-transitory computer readable storage medium thereof (Patent ID: US20240176143A1)
The patent filed by HTC Corp. describes a head-mounted display that can determine a user's posture and gestures based on real-time images and inertial measurement parameters. The device then generates control signals for various output events based on these postures and gestures. The head-mounted display includes features such as an image capturing device, a processor, and an eye tracker to enhance the accuracy of gesture recognition and control signal generation. Additionally, the device can store an output event look-up table to streamline the process of determining the appropriate output event based on the user's posture and gestures.
The controlling method outlined in the patent is designed for use in an electronic apparatus and involves analyzing real-time images to determine a user's posture and generating gestures based on inertial measurement parameters. The method then generates control signals for various output events to control an application program on the electronic apparatus. By incorporating features such as posture tracking trajectories, spatial locations analysis, and eye tracking, the method aims to accurately interpret user gestures and postures to enhance the overall user experience. Additionally, the method can utilize an output event look-up table to efficiently determine the appropriate output event based on the user's posture and gestures, streamlining the control process for the application program.
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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.
