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公开(公告)号：US20210256182A1
公开(公告)日：2021-08-19
申请号：US17308903
申请日：2021-05-05
Applicant: Ultrahaptics IP Two Limited
Inventor： David S. HOLZ , Kevin HOROWITZ , Raffi BEDIKIAN , Hua YANG
Abstract: The technology disclosed relates to simplifying updating of a predictive model using clustering observed points. In particular, it relates to observing a set of points in 3D sensory space, determining surface normal directions from the points, clustering the points by their surface normal directions and adjacency, accessing a predictive model of a hand, refining positions of segments of the predictive model, matching the clusters of the points to the segments, and using the matched clusters to refine the positions of the matched segments. It also relates to distinguishing between alternative motions between two observed locations of a control object in a 3D sensory space by accessing first and second positions of a segment of a predictive model of a control object such that motion between the first position and the second position was at least partially occluded from observation in a 3D sensory space.
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公开(公告)号：US20240143871A1
公开(公告)日：2024-05-02
申请号：US18406059
申请日：2024-01-05
Applicant: ULTRAHAPTICS IP TWO LIMITED
Inventor： David S. HOLZ , Kevin HOROWITZ , Raffi BEDIKIAN , Hua YANG
Abstract: The technology disclosed relates to simplifying updating of a predictive model using clustering observed points. In particular, it relates to observing a set of points in 3D sensory space, determining surface normal directions from the points, clustering the points by their surface normal directions and adjacency, accessing a predictive model of a hand, refining positions of segments of the predictive model, matching the clusters of the points to the segments, and using the matched clusters to refine the positions of the matched segments. It also relates to distinguishing between alternative motions between two observed locations of a control object in a 3D sensory space by accessing first and second positions of a segment of a predictive model of a control object such that motion between the first position and the second position was at least partially occluded from observation in a 3D sensory space.
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公开(公告)号：US20230169236A1
公开(公告)日：2023-06-01
申请号：US18161811
申请日：2023-01-30
Applicant: Ultrahaptics IP Two Limited
Inventor： David S. HOLZ , Kevin HOROWITZ , Raffi BEDIKIAN , Hua YANG
Abstract: The technology disclosed relates to simplifying updating of a predictive model using clustering observed points. In particular, it relates to observing a set of points in 3D sensory space, determining surface normal directions from the points, clustering the points by their surface normal directions and adjacency, accessing a predictive model of a hand, refining positions of segments of the predictive model, matching the clusters of the points to the segments, and using the matched clusters to refine the positions of the matched segments. It also relates to distinguishing between alternative motions between two observed locations of a control object in a 3D sensory space by accessing first and second positions of a segment of a predictive model of a control object such that motion between the first position and the second position was at least partially occluded from observation in a 3D sensory space.
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公开(公告)号：US20200167513A1
公开(公告)日：2020-05-28
申请号：US16695136
申请日：2019-11-25
Applicant: Ultrahaptics IP Two Limited
Inventor： David S. HOLZ , Kevin HOROWITZ , Raffi BEDIKIAN , Hua YANG
Abstract: The technology disclosed relates to simplifying updating of a predictive model using clustering observed points. In particular, it relates to observing a set of points in 3D sensory space, determining surface normal directions from the points, clustering the points by their surface normal directions and adjacency, accessing a predictive model of a hand, refining positions of segments of the predictive model, matching the clusters of the points to the segments, and using the matched clusters to refine the positions of the matched segments. It also relates to distinguishing between alternative motions between two observed locations of a control object in a 3D sensory space by accessing first and second positions of a segment of a predictive model of a control object such that motion between the first position and the second position was at least partially occluded from observation in a 3D sensory space.
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