FACILITATING PERSONAL ASSISTANCE FOR CURATION OF MULTIMEDIA AND GENERATION OF STORIES AT COMPUTING DEVICES
    12.
    发明申请
    FACILITATING PERSONAL ASSISTANCE FOR CURATION OF MULTIMEDIA AND GENERATION OF STORIES AT COMPUTING DEVICES 有权
    为计算机设备实现多媒体和故障生成提供个人帮助

    公开(公告)号:US20170078621A1

    公开(公告)日:2017-03-16

    申请号:US14855910

    申请日:2015-09-16

    Abstract: A mechanism is described for facilitating personal assistance for curation of multimedia and generation of stories at computing devices according to one embodiment. A method of embodiments, as described herein, includes receiving, by one or more capturing/sensing components at a computing device, one or more media items relating to an event, and capturing a theme from the one or more media items, where the theme is captured based on at least one of activities, textual content, and scenes associated with the event. The method may further include forming a plurality of story elements to generate a story relating to the event, where the plurality of story elements are formed based on at least one of one or more characters, the theme associated with the event, and one or more emotions associated with the one or more characters, wherein the story is presented, via one or more display devices, to one or more users having access to the one or more display devices.

    Abstract translation: 描述了一种机制,用于促进根据一个实施例的用于策划多媒体和在计算设备上生成故事的个人帮助。 如本文所述的实施例的方法包括通过一个或多个捕获/感测组件在计算设备处接收与事件相关的一个或多个媒体项目,以及从一个或多个媒体项目捕获主题,其中主题 基于与事件相关联的活动,文本内容和场景中的至少一个被捕获。 所述方法可以进一步包括形成多个故事元素以产生与该事件有关的故事,其中基于一个或多个角色中的至少一个形成多个故事元素,与该事件相关联的主题以及一个或多个 与一个或多个字符相关联的情绪,其中故事通过一个或多个显示设备呈现给具有访问所述一个或多个显示设备的一个或多个用户。

    Behavior detection using RFID in environments with high RFID tag density

    公开(公告)号:US10832024B2

    公开(公告)日:2020-11-10

    申请号:US16697098

    申请日:2019-11-26

    Abstract: In one embodiment, an apparatus comprises processing circuitry to: receive wireless signal data corresponding to an RFID tag, wherein the wireless signal data comprises signal strength data and signal phase data corresponding to wireless signals transmitted by the RFID tag and received by an RFID reader; generate decomposed signal strength data based on a seasonal decomposition of the signal strength data; generate a frequency-phase curve based on the signal phase data; extract a set of signal strength features based on the decomposed signal strength data; extract a set of signal phase features based on the frequency-phase curve; and detect a motion state of the RFID tag using a machine learning classifier, wherein the machine learning classifier is trained to detect the motion state based on the set of signal strength features and the set of signal phase features.

    Privacy-preserving behavior detection

    公开(公告)号:US10467873B2

    公开(公告)日:2019-11-05

    申请号:US15712438

    申请日:2017-09-22

    Abstract: In one embodiment, an apparatus may comprise a sensor to detect a plurality of radio signals from one or more transmitters. The apparatus may further comprise a processor to: identify the plurality of radio signals detected by the sensor; detect a proximity of one or more assets based on the plurality of radio signals, wherein the one or more assets are associated with the one or more transmitters; identify the one or more assets based on an identity of the one or more transmitters, wherein each transmitter is associated with a particular asset; identify a plurality of signal characteristics associated with the plurality of radio signals; detect a proximity of a human based on the plurality of signal characteristics; and detect one or more human-asset interactions based on the plurality of signal characteristics.

    DETECTING A MECHANICAL DEVICE USING A MAGNETOMETER AND AN ACCELEROMETER

    公开(公告)号:US20180292471A1

    公开(公告)日:2018-10-11

    申请号:US15481414

    申请日:2017-04-06

    Abstract: A technology is described for detecting a mechanical device. An example method may include retrieving magnetometer data generated by a magnetometer coupled to a mobile device. Magnetic features may be extracted from the magnetometer data, where the magnetometer data may be associated with magnetic field distortion patterns generated by mechanical motions of a mechanical device. Accelerometer data generated by an accelerometer coupled to the mobile device may be retrieved. Acceleration features associated with vibration patterns generated by the mechanical motions of the mechanical device may be extracted from the accelerometer data. Thereafter, the mechanical device may be identified using the magnetic features and the acceleration features.

    Probabilistic contextual inference using RFID tag-interactions

    公开(公告)号:US12260284B2

    公开(公告)日:2025-03-25

    申请号:US17124091

    申请日:2020-12-16

    Abstract: Techniques are disclosed for performing RFID motion tracking in an intelligent manner that facilitates the generation of accurate and useful metrics for marketing and other applications. The techniques function to reduce problematic false positive rates on RFID tags attached to items to improve the accuracy of the motion presence of a small subset of browsed items among a much larger set of tagged items in the same space. This accurate motion inference enables the calculation of metrics such as customer-item interaction duration, pauses in interactions (potentially indicating close examining), and the extraction of patterns of motion that can indicate interest leading to realized sales, as well as concurrent motion detection of multiple items indicating which related items shall be placed in close proximity to increase sales of matching items.

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