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1233 条记录 (耗时 0.04 秒)

    Determining interpupillary distance and eye relief of a user wearing a head-mounted display
    82.
    发明授权
    Determining interpupillary distance and eye relief of a user wearing a head-mounted display 有权

    公开(公告)号：US10401625B2

    公开(公告)日：2019-09-03

    申请号：US15391204

    申请日：2016-12-27

    申请人： Facebook Technologies, LLC

    发明人： Yury Anatolievich Petrov

    IPC分类号： G02B27/00 ,  G02B27/01 ,  G06F3/13 ,  G06K9/00 ,  A61B3/11 ,  G06T7/70 ,  H04N5/225 ,  A61B3/15 ,  G06T7/586

    摘要： A virtual reality headset includes multiple illumination sources emitting light towards a user's eye and an image capture device capturing light reflected by the user's eye. The image capture device captures images of light from the illumination sources reflected by the user's corneas when the user looks at a specific location in the virtual reality headset. Based on locations of light having at least a threshold intensity in the captured images, the position of the center of user's eye's pupil is determined in three dimensions and used to determine a distance between the center of user's eye's pupil and a reference point relative to the illumination sources. Distances between centers of pupils of the user's eyes and reference points are used to determine a distance between the centers of the pupils of the user's eyes and a distance from the corneas to an optical system of the headset.

    Cognitive load driving assistant
    83.
    发明授权
    Cognitive load driving assistant 有权

    公开(公告)号：US10399575B2

    公开(公告)日：2019-09-03

    申请号：US15541458

    申请日：2016-01-11

    申请人： Harman International Industries, Incorporated

    发明人： Mirjana Spasojevic ,  Stefan Marti ,  Davide Di Censo ,  Jaime Elliot Nahman

    IPC分类号： B60K28/02 ,  B60K28/06 ,  G01C21/36 ,  A61B5/18 ,  A61B5/024 ,  A61B5/053 ,  G08G1/0968 ,  B60W50/00 ,  A61B5/0205 ,  A61B5/00 ,  A61B3/11 ,  G08G1/04 ,  G08G1/16 ,  B60W50/14

    摘要： In one embodiment, a cognitive load driving assistant increases driving safety based on cognitive loads. In operation, the cognitive load driving assistant computes a current cognitive load of a driver based on sensor data. If the current cognitive load exceeds a threshold cognitive load, then the cognitive load driving assistant modifies the driving environment to reduce the cognitive load required to perform the primary driving task and/secondary task(s), such as texting via a cellular phone. The cognitive load driving assistant may modify the driving environment indirectly via sensory feedback to the driver or directly through reducing the complexity of the primary driving task and/or secondary tasks. In particular, if the driver is exhibiting elevated cognitive loads typically associated with distracted driving, then the cognitive load driving assistant modifies the driving environment to allow the driver to devote appropriate mental resources to the primary driving task, thereby increasing driving safety.

    Task-based biometric differentiator of stress levels to maximize productivity
    86.
    发明授权
    Task-based biometric differentiator of stress levels to maximize productivity 有权

    公开(公告)号：US10380531B2

    公开(公告)日：2019-08-13

    申请号：US14879240

    申请日：2015-10-09

    申请人： International Business Machines Corporation

    发明人： Adam T. Bishop ,  Matthew R. Catalfamo ,  Al Chakra ,  Indrajit Viswanath

    IPC分类号： G06Q10/06 ,  A61B3/11 ,  A61B5/0205 ,  A61B5/053 ,  A61B5/00 ,  A61B5/16 ,  A61B5/024

    摘要： An aspect includes receiving a request to assign a task to a user based on biometric data. Correlated data that correlates characteristics of tasks previously performed by the user with observed productivity and stress levels of the user while performing the tasks is accessed. An optimization model is applied to select a task that maximizes a predicted productivity of the user in performing the task while at the same time minimizes a predicted negative stress level of the user while performing the task. Input to the optimization model includes the correlated data and characteristics of a plurality of potential tasks. The selected task is assigned to the user. The correlated data for the user is updated based on the observed productivity of the user in performing the selected task, the observed stress level of the user while performing the selected tax, and at least one characteristic of the selected task.

    Task-based biometric differentiator of stress levels to maximize productivity
    87.
    发明授权
    Task-based biometric differentiator of stress levels to maximize productivity 有权

    公开(公告)号：US10380530B2

    公开(公告)日：2019-08-13

    申请号：US14821978

    申请日：2015-08-10

    申请人： International Business Machines Corporation

    发明人： Adam T. Bishop ,  Matthew R. Catalfamo ,  Al Chakra ,  Indrajit Viswanath

    IPC分类号： G06Q10/06 ,  A61B3/11 ,  A61B5/0205 ,  A61B5/053 ,  A61B5/00 ,  A61B5/16 ,  A61B5/024

    摘要： An aspect includes receiving a request to assign a task to a user based on biometric data. Correlated data that correlates characteristics of tasks previously performed by the user with observed productivity and stress levels of the user while performing the tasks is accessed. An optimization model is applied to select a task that maximizes a predicted productivity of the user in performing the task while at the same time minimizes a predicted negative stress level of the user while performing the task. Input to the optimization model includes the correlated data and characteristics of a plurality of potential tasks. The selected task is assigned to the user. The correlated data for the user is updated based on the observed productivity of the user in performing the selected task, the observed stress level of the user while performing the selected tax, and at least one characteristic of the selected task.