Hinge Health. has been granted a patent for a method and system that matches 2D skeleton data from multiple camera views to facilitate 3D human reconstruction. The system includes modules for scoring, matching, grouping, and maintaining temporal consistency of identified individuals across video sequences. GlobalData’s report on Hinge Health 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 Hinge Health, AI-assisted medical imaging was a key innovation area identified from patents. Hinge Health's grant share as of June 2024 was 17%. Grant share is based on the ratio of number of grants to total number of patents.
Method for matching 2d skeletons across multiple camera views
The patent US12008772B2 outlines a method for identifying humans across multiple camera views using two-dimensional (2D) skeletons. The process begins with pairwise scoring of 2D skeletons from different camera angles, where an affinity score is assigned based on the distance between modeled rays directed at the skeleton elements. This scoring involves evaluating multiple elements of the skeletons, generating a weighted sum of distances to determine the best match between skeletons from different views. The method also includes grouping the identified skeletons to correlate those in one camera view with those in another, enhancing the accuracy of human identification in varied perspectives.
Additionally, the patent specifies conditions for the scoring process, such as excluding pairs of rays that are divergent or where the distance exceeds a predetermined threshold. It also allows for the assessment of deviations from typical human attributes in a potential three-dimensional (3D) skeleton formed from the 2D data. Calibration of camera views is emphasized, requiring the determination of camera positions and angles, as well as synchronization of frames to ensure accurate alignment of the captured data. The patent further includes a non-transitory computer-readable medium that contains instructions for executing these operations, facilitating the implementation of this identification method in practical applications.
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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.
