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    AUTOMATIC IDENTIFICATION OF LESSONS-LEARNED INCIDENT RECORDS
    1.
    发明公开
    AUTOMATIC IDENTIFICATION OF LESSONS-LEARNED INCIDENT RECORDS 审中-公开

    公开(公告)号：US20240232609A9

    公开(公告)日：2024-07-11

    申请号：US17973344

    申请日：2022-10-25

    申请人： Velocity EHS Inc.

    发明人： Julia Penfield ,  Pulkit T. Parikh

    IPC分类号： G06N3/08

    CPC分类号： G06N3/08

    摘要： Systems and methods to classify incident report documents are disclosed, comprising inputting, a first type data entry of a document into a deep neural network (DNN); encoding, via the DNN, the first type data entry to output a densely embedded contextual vector representing contents of the first type data entry; generating, a list containing ordered data from a second type data entry of the document; encoding, via a machine learning network, the ordered data into a sparse vector representation of the second type data entry; concatenating, the densely embedded contextual vector with the sparse vector representation to generate a representative vector of the document; and training a gradient-boosted classifier network by using as training inputs the representative vector and a label associated with the document to generate a classification of the document.

    VIDEO-BASED HAND AND GROUND REACTION FORCE DETERMINATION
    3.
    发明申请
    VIDEO-BASED HAND AND GROUND REACTION FORCE DETERMINATION 有权

    公开(公告)号：US20220327775A1

    公开(公告)日：2022-10-13

    申请号：US17718818

    申请日：2022-04-12

    申请人： Velocity EHS Inc.

    发明人： SangHyun Lee ,  Meiyin Liu

    IPC分类号： G06T17/00 ,  G06V40/20 ,  G01L1/00 ,  G06T7/246

    摘要： A method for determining a hand force and a ground reaction force for a musculoskeletal body of a subject includes obtaining video data for the musculoskeletal body during an action taken by the subject, generating, for each frame of the video data, three-dimensional pose data for the subject based on a three-dimensional skeletal model, and determining the hand force and the ground reaction force based on the three-dimensional pose data. Determining the hand force and the ground reaction force includes implementing a reconstruction of the hand force and the ground reaction force based on the three-dimensional pose data. The method additionally includes applying the three-dimensional pose data, the estimate for the ground reaction force, and the estimate of the hand force, to a neural network or other model to optimize the estimate of the hand force and the estimate of the ground reaction force.

    AUTOMATIC IDENTIFICATION OF LESSONS-LEARNED INCIDENT RECORDS
    4.
    发明公开
    AUTOMATIC IDENTIFICATION OF LESSONS-LEARNED INCIDENT RECORDS 审中-公开

    公开(公告)号：US20240135164A1

    公开(公告)日：2024-04-25

    申请号：US17973344

    申请日：2022-10-24

    申请人： Velocity EHS Inc.

    发明人： Julia Penfield ,  Pulkit T. Parikh

    IPC分类号： G06N3/08

    CPC分类号： G06N3/08

    摘要： Systems and methods to classify incident report documents are disclosed, comprising inputting, a first type data entry of a document into a deep neural network (DNN); encoding, via the DNN, the first type data entry to output a densely embedded contextual vector representing contents of the first type data entry; generating, a list containing ordered data from a second type data entry of the document; encoding, via a machine learning network, the ordered data into a sparse vector representation of the second type data entry; concatenating, the densely embedded contextual vector with the sparse vector representation to generate a representative vector of the document; and training a gradient-boosted classifier network by using as training inputs the representative vector and a label associated with the document to generate a classification of the document.

    Automated indexing and extraction of multiple information fields in digital records
    5.
    发明授权
    Automated indexing and extraction of multiple information fields in digital records 有权

    公开(公告)号：US11893048B1

    公开(公告)日：2024-02-06

    申请号：US18134023

    申请日：2023-04-12

    申请人： Velocity EHS Inc.

    发明人： Julia Penfield ,  Aatish Suman ,  Veeru Talreja ,  Misbah Zahid Khan

    IPC分类号： G06F40/279 ,  G06F16/31 ,  G06V30/19

    CPC分类号： G06F16/328 ,  G06F40/279 ,  G06V30/19

    摘要： Systems and Methods are disclosed herein for automatically indexing multiple informational fields in digital data records, the method comprising: identifying, based on rules defining target information fields, for each target field of the target information fields, at least one page in a digital data record comprising content related to the target field; extracting, for each target field, from the identified at least one page, at least one portion of text comprising the content; feeding, for each target field, a pre-processed version of the at least one portion of text into a machine learning (ML) model, wherein the ML model is trained on the target field; determining, for each target field, via the ML model trained on the target field, at least one candidate text comprising the content; and extracting, for each target field, the at least one candidate text.