BIOMETRIC-BASED DISTRESS DETECTION AND DELIVERY OF ASSISTANCE

    公开(公告)号:US20220265222A1

    公开(公告)日:2022-08-25

    申请号:US17182944

    申请日:2021-02-23

    IPC分类号: A61B5/00 G06K9/00

    摘要: A computer system provides biometric-based distress detection and assistance. Biometric information that is associated with an entity and audio data associated with an environment of the entity are received. A distress score is calculated based on the biometric information. The audio data is analyzed to identify one or more distress factors. In response to determining that the distress score exceeds a distress threshold and in response to identifying the one or more distress factors, a notification that the entity requires aid is transmitted to a third party. Embodiments of the present invention further include a method and program product for providing biometric-based distress detection and assistance in substantially the same manner described above.

    EVENT ATTIRE RECOMMENDATION SYSTEM AND METHOD
    3.
    发明申请
    EVENT ATTIRE RECOMMENDATION SYSTEM AND METHOD 审中-公开
    事件自动建议系统和方法

    公开(公告)号:US20170004428A1

    公开(公告)日:2017-01-05

    申请号:US14939200

    申请日:2015-11-12

    IPC分类号: G06Q10/06

    摘要: A method for generating event profiles comprises receiving source data in a processor, extracting an attire property from the source data, extracting an event attribute from the source data, associating the attire property with the event attribute, generating an event profile that includes the associated attire property and the event attribute, and saving the event profile in a memory.

    摘要翻译: 一种用于生成事件简档的方法,包括在处理器中接收源数据,从源数据提取服装属性,从源数据提取事件属性,将服装属性与事件属性相关联,生成包括相关服装的事件简档 属性和事件属性,并将事件配置文件保存在内存中。

    Self-driving vehicle collision management system

    公开(公告)号:US10259452B2

    公开(公告)日:2019-04-16

    申请号:US15397855

    申请日:2017-01-04

    IPC分类号: B60W30/09 B60W30/085

    摘要: A method generates and implements a real-time amelioration action for ameliorating an imminent collision between a self-driving vehicle (SDV) and an object. One or more processors detect that an imminent collision by a self-driving vehicle (SDV) is imminent with a confidence C1, and determine whether the SDV has an occupant of occupant type P with a confidence C2. One or more processors identify an object with which the imminent collision by the SDV is imminent with a confidence C3, and then generate and implement, based on C1, C2, C3, and P, a real-time amelioration action for ameliorating the imminent collision between the SDV and the object.

    ADJUSTING MACHINE LEARNING MODELS BASED ON SIMULATED FAIRNESS IMPACT

    公开(公告)号:US20230177383A1

    公开(公告)日:2023-06-08

    申请号:US17544077

    申请日:2021-12-07

    IPC分类号: G06N20/00

    CPC分类号: G06N20/00

    摘要: Methods, systems, and computer program products for adjusting machine learning models based on simulated fairness impact are provided herein. A computer-implemented method includes obtaining, by a central simulation system, policies to be used for performing a simulation involving machine learning models, implemented on different systems, interacting with a target population; providing information for configuring simulators on the different systems, each simulator representing at least the machine learning model of a given one of the different systems; performing iterations of the simulation for the policies, wherein, for each iteration, the central simulation system: predicts a state of the target population, provides the state to the simulators, and collects metrics based on results of the simulators; and selecting and sending one of the policies to at least one of the different systems based on the collected metrics.