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    METHODS AND SYSTEMS FOR IMAGE SEGMENTATION AND ANALYSIS
    2.
    发明申请
    METHODS AND SYSTEMS FOR IMAGE SEGMENTATION AND ANALYSIS 有权

    公开(公告)号：US20220167928A1

    公开(公告)日：2022-06-02

    申请号：US17434333

    申请日：2020-02-27

    Applicant: UNIVERSITY OF IOWA RESEARCH FOUNDATION

    Inventor： STEPHEN BAEK ,  YUSEN HE ,  XIAODONG WU ,  YUSUNG KIM ,  BRYAN G. ALLEN ,  JOHN BUATTI ,  BRIAN J. SMITH

    IPC: A61B5/00 ,  G06T7/11

    Abstract: Methods and systems for image segmentation and analysis are described. A predictive model may be trained to identify and/or extract a rich set of image features with extensive prognostic value. For example, the predictive model may be trained to identify and/or extract features that that may be visualized to identify areas of interest (e.g., high-risk regions, etc.) within or adjacent to an object of interest, such a tumor. The predictive model may be trained to identify and/or extract features that that may predict a health related outcome, such as cancer patient survival/death, and modify therapeutic outcomes, such as diagnosis and treatment.

    System And Method To Predict, Prevent, And Mitigate Workplace Injuries
    3.
    发明申请
    System And Method To Predict, Prevent, And Mitigate Workplace Injuries 有权

    公开(公告)号：US20220237537A1

    公开(公告)日：2022-07-28

    申请号：US17717714

    申请日：2022-04-11

    Applicant: UNIVERSITY OF IOWA RESEARCH FOUNDATION

    Inventor： STEPHEN BAEK ,  NATHAN B. FETHKE ,  JEAN ROBILLARD ,  JOSEPH A.V. BUCKWALTER ,  PAMELA VILLACORTA

    IPC: G06Q10/06 ,  G06N20/00 ,  G06V40/20

    Abstract: A prevention and safety management system utilizes a non-intrusive imaging sensor (e.g. surveillance cameras, smartphone cameras) and a computer vision system to record videos of workers not wearing sensors. The videos are analyzed using a deep machine learning algorithm to detect kinematic activities (set of predetermined body joint positions and angles) of the workers and recognizing various physical activities (walk/posture, lift, push, pull, reach, force, repetition, duration etc.). The measured kinematic variables are then parsed into metrics relevant to workplace ergonomics, such as number of repetitions, total distance travelled, range of motion, and the proportion of time in different posture categories. The information gathered by this system is fed into an ergonomic assessment system and is used to automatically populate exposure assessment tools and create risk assessments.

    SYSTEM AND METHOD TO PREDICT, PREVENT, AND MITIGATE WORKPLACE INJURIES
    4.
    发明申请
    SYSTEM AND METHOD TO PREDICT, PREVENT, AND MITIGATE WORKPLACE INJURIES 审中-公开

    公开(公告)号：US20200327465A1

    公开(公告)日：2020-10-15

    申请号：US16825692

    申请日：2020-03-20

    Applicant: UNIVERSITY OF IOWA RESEARCH FOUNDATION

    Inventor： STEPHEN BAEK ,  NATHAN B. FETHKE ,  JEAN ROBILLARD ,  JOSEPH A.V. BUCKWALTER ,  PAMELA VILLACORTA

    IPC: G06Q10/06 ,  G06N20/00 ,  G06K9/00

    Abstract: A prevention and safety management system utilizes a non-intrusive imaging sensor (e.g. surveillance cameras, smartphone cameras) and a computer vision system to record videos of workers not wearing sensors. The videos are analyzed using a deep machine learning algorithm to detect kinematic activities (set of predetermined body joint positions and angles) of the workers and recognizing various physical activities (walk/posture, lift, push, pull, reach, force, repetition, duration etc.). The measured kinematic variables are then parsed into metrics relevant to workplace ergonomics, such as number of repetitions, total distance travelled, range of motion, and the proportion of time in different posture categories. The information gathered by this system is fed into an ergonomic assessment system and is used to automatically populate exposure assessment tools and create risk assessments.

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