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1.发明授权公开(公告)号：US12020193B1
公开(公告)日：2024-06-25
申请号：US18457855
申请日：2023-08-29
IPC分类号： G06T7/70 , G06Q10/0635 , G06Q10/0639 , G06V10/764 , G06V40/10
CPC分类号： G06Q10/0635 , G06Q10/06398 , G06T7/70 , G06V10/764 , G06V40/11
摘要： A system, comprising: a computing device configured to obtain video signals of a worker performing a hand-related job at a workplace; and a computing server system configured to receive and process the video signals to identify hand grips and wrist bending involved in the job, determine a hand grip type for each identified hand grip, obtain force information relating to each identified hand grip, determine neutral or hazardous wrist bending based at least upon the wrist bending and the hand grip force information, calculate a percent maximum strength for each identified hand grip, calculate frequencies and durations of each identified hand grip and wrist bending, and determine ergonomic risks of the hand-related job accordingly.
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公开(公告)号：US20240346419A1
公开(公告)日：2024-10-17
申请号：US18537450
申请日：2023-12-12
IPC分类号： G06Q10/0635 , G06F40/205 , G06F40/30
CPC分类号： G06Q10/0635 , G06F40/205 , G06F40/30
摘要： A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain textual information describing a series of tasks of a job and forces being exerted during the series of tasks; and a computing server system configured to receive and process the textual information to generate a set of textual entry to correspond to a unique identifier of the job, identify nouns and verbs in the set of textual entry via natural language processing techniques, perform dependency parsing and part-of-speech tagging to associate each identified verb in the set of textual entry with a root noun in order to identify action-object pairs and unpaired actions, determine ergonomic risk root-causes based at least upon the action-object pairs and the unpaired actions in the set of textual entry, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes.
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公开(公告)号：US11847600B1
公开(公告)日：2023-12-19
申请号：US18365396
申请日：2023-08-04
IPC分类号： G06Q10/00 , G06Q10/0635 , G06F40/30 , G06F40/205
CPC分类号： G06Q10/0635 , G06F40/205 , G06F40/30
摘要： A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain textual information describing a series of tasks of a job and forces being exerted during the series of tasks; and a computing server system configured to receive and process the textual information to generate a set of textual entry to correspond to a unique identifier of the job, identify nouns and verbs in the set of textual entry via natural language processing techniques, perform dependency parsing and part-of-speech tagging to associate each identified verb in the set of textual entry with a root noun in order to identify action-object pairs and unpaired actions, determine ergonomic risk root-causes based at least upon the action-object pairs and the unpaired actions in the set of textual entry, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes.
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4.发明授权公开(公告)号：US12125235B1
公开(公告)日：2024-10-22
申请号：US18417633
申请日：2024-01-19
发明人： Julia Penfield , Leyang Wen , Veeru Talreja , Daeho Kim , Meiyin Liu , Richard Thomas Barker , SangHyun Lee
CPC分类号： G06T7/70 , G06T5/70 , G06T7/20 , G06V20/70 , G06T2207/30204 , G06T2207/30241 , G06V2201/07
摘要： Disclosed herein is a system and method for obtaining and generating motion capture datasets relating to various working activities for ergonomic risk assessment. An example system may comprise a computing device that obtains first data from multiple motion capture cameras, obtains second data from multiple visible light imaging sensors, calculates 3D positions of multiple reflective markers positioned on several subjects performing various working activities based on the first data, labels each marker to generate marker trajectories, performs gap filing and smoothing functions on the marker trajectories to generate global marker positions, transforms the global marker positions into a corresponding image coordinate system of each sensor to generate 3D pose data of the subjects at each sensor viewpoint, projects the 3D pose data into frames of the second data to generate 2D pose data, and generates a dataset comprising the second data, the 2D pose data, and the 3D pose data.
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5.发明授权公开(公告)号：US12112485B1
公开(公告)日：2024-10-08
申请号：US18418929
申请日：2024-01-22
发明人： Julia Penfield , Leyang Wen , Veeru Talreja , Daeho Kim , Meiyin Liu , Richard Thomas Barker , SangHyun Lee
IPC分类号： G06T7/20
CPC分类号： G06T7/20 , G06T2207/20044 , G06T2207/30204
摘要： Disclosed herein is a system and method for obtaining and generating motion capture datasets relating to various working activities for ergonomic risk assessment. An example system may comprise a computing device that obtains first data from multiple motion capture cameras, obtains second data from multiple visible light imaging sensors, calculates 3D positions of multiple reflective markers positioned on several subjects performing various working activities based on the first data, labels each marker to generate marker trajectories, performs gap filing and smoothing functions on the marker trajectories to generate global marker positions, transforms the global marker positions into a corresponding image coordinate system of each sensor to generate 3D pose data of the subjects at each sensor viewpoint, projects the 3D pose data into frames of the second data to generate 2D pose data, and generates a dataset comprising the second data, the 2D pose data, and the 3D pose data.
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6.发明授权公开(公告)号：US12014575B1
公开(公告)日：2024-06-18
申请号：US18535146
申请日：2023-12-11
发明人： Julia Penfield , Gunwoo Yong , Meiyin Liu , SangHyun Lee
摘要： Disclosed herein is an image-based system configured to identify root causes of industrial ergonomic risks and their corresponding solutions. An example system comprises a computing device configured to encode an image of a worker performing a work task to generate an embedding vector, transmit the embedding vector to an image-grounded text decoder, while generating first tokens to instruct the decoder to generate a first sentence indicating a root cause of an ergonomic risk identified in the image, compute first relative sensitivity scores relating to the first tokens and extracted image features, generate second tokens of the first sentence based on the first relative sensitivity scores, while generating third tokens to instruct a text decoder to generate a second sentence indicating a solution to the ergonomic risk, calculate second relative sensitivity scores relating to the second and third tokens, and generate the first and second sentences accordingly.
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