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    Systems and methods for access control based on machine-learning
    5.
    发明授权
    Systems and methods for access control based on machine-learning 有权

    公开(公告)号：US10810532B2

    公开(公告)日：2020-10-20

    申请号：US15445809

    申请日：2017-02-28

    申请人： FUJI XEROX CO., LTD.

    发明人： Daniel Avrahami ,  Matthew Lee ,  Jennifer Marlow

    IPC分类号： G06Q10/06 ,  G06N20/00

    摘要： Example implementations are directed to a method of receiving information associated with an activity, analyze the information to identify a first pattern and a second pattern, generate a customized transition model for returning to the first pattern. In response to a detected trigger indicating a transition to the first pattern, the method assesses context factors to apply the customized transition to dynamically manage access to digital resources during the transition to the first pattern. In response to a determination that a transition to the first pattern satisfies a threshold, the method restores access to the digital resources.

    Methods and systems for providing teleconference participant quality feedback
    6.
    发明授权
    Methods and systems for providing teleconference participant quality feedback 有权

    公开(公告)号：US10218852B2

    公开(公告)日：2019-02-26

    申请号：US15441053

    申请日：2017-02-23

    申请人： FUJI XEROX CO., LTD.

    发明人： Matthew Lee ,  Scott Carter ,  Heather Ashley Faucett

    IPC分类号： H04M3/56 ,  H04M7/00 ,  H04N7/15 ,  G06K9/00 ,  H04N7/14

    摘要： A method at a computing device includes obtaining time-varying teleconferencing data of a teleconference session with two or more participants, where the teleconferencing data includes one or more of audio data and video data, determining one or more participant quality signals for at least one of the participants based on the teleconferencing data, where at least one of the participant quality signals varies over time; determining for at least one of the participants participant quality metrics based on the participant quality signals; and providing to at least one of the participants information corresponding to the participant quality metrics, where the information is provided in one or more of graphical, textual, and audible form.

    SYSTEMS AND METHODS FOR CONTEXT AWARE REDIRECTION BASED ON MACHINE-LEARNING
    7.
    发明申请
    SYSTEMS AND METHODS FOR CONTEXT AWARE REDIRECTION BASED ON MACHINE-LEARNING 审中-公开

    公开(公告)号：US20180204128A1

    公开(公告)日：2018-07-19

    申请号：US15405982

    申请日：2017-01-13

    申请人： FUJI XEROX CO., LTD.

    发明人： Daniel Avrahami ,  Matthew Lee ,  Scott Cambo

    IPC分类号： G06N5/04 ,  G06N99/00

    CPC分类号： G06Q10/109 ,  G06N20/00

    摘要： Example implementations are directed to a method of receiving information associated with an activity, analyzing the information to identify a first pattern and a second pattern, and generating a customized recommendation model for the second pattern based on the first pattern. In response to a detected trigger indicating a transition to the second pattern, the method assesses context factors to verify the transition to the second pattern without interrupting the first pattern. Based on the verification, the method applies the model to provide redirection based on the recommendation.

    SYSTEMS AND METHODS FOR PHYSIOLOGICAL SENSING FOR PURPOSES OF DETECTING PERSONS AFFECTIVE FOCUS STATE FOR OPTIMIZING PRODUCTIVITY AND WORK QUALITY
    8.
    发明申请
    SYSTEMS AND METHODS FOR PHYSIOLOGICAL SENSING FOR PURPOSES OF DETECTING PERSONS AFFECTIVE FOCUS STATE FOR OPTIMIZING PRODUCTIVITY AND WORK QUALITY 审中-公开

    公开(公告)号：US20190258944A1

    公开(公告)日：2019-08-22

    申请号：US15901885

    申请日：2018-02-21

    申请人： FUJI XEROX CO., LTD.

    发明人： Matthew Lee ,  Hideto Oda ,  Sumeet Jain

    IPC分类号： G06N5/04 ,  G06N99/00 ,  G06Q10/06

    摘要： A system that infers and detects how focused a worker is on work tasks, based on physiological parameters collected using wearable and environmental sensors. The system can identify whether a worker is in a focused state of flow, the affective state in which the worker's mind is fully immersed and actively engaged in their task. The system can also identify whether the worker is anxious (where the task demands/difficulty is too high relative the worker's skills) or bored (where the task is too easy). Once the focus state is detected, the information can be used in various applications for optimizing the worker's tasks and work quality such as monitoring task mastery, interventions to improve worker focus (e.g., recommending breaks, reassigning tasks, clarifying goals), identifying potentially lower quality production lots in a manufacturing environment, measuring the effects of skills training, and personal informatics for improving a worker's own productivity.