Two-dimensional encounter location detection

    公开(公告)号:US10536923B2

    公开(公告)日:2020-01-14

    申请号:US16062103

    申请日:2015-12-26

    Abstract: Sensors provisioned on a first device detect a movement of the first device corresponding to the first device changing position within an environment. Location information for the first device is updated based on the position change. A plurality of signals are detected, at the first device, from a second device in the environment, determine, and a distance between the first and second devices is determined based on each of the signals. From the signals, another change in position of the first device within the environment is determined and the location information updated for the first device. The movement is detected at the first device at an instance between two of the plurality of signals, and location information for the first device based on the first position change is updated prior to detection of the later of the two signals in the plurality of signals.

    Early warning of non-compliance with an established workflow in a work area

    公开(公告)号:US09830800B2

    公开(公告)日:2017-11-28

    申请号:US15087098

    申请日:2016-03-31

    CPC classification number: G08B21/245 A61B5/00 G06Q10/103

    Abstract: A system for early warning of non-compliance with an established workflow in a work area includes a radio frequency (RF) sensor configured to detect each of a plurality of RF signals located within the work area, and a monitoring system operably connected to the RF sensor. The monitoring system is configured to compare a temporal sequence of detected RF signals to a predetermined temporal sequence of the RF signals associated with the established workflow, and to determine whether a warning condition exists based on the comparison. The RF signals can be emitted by RFID tags within the work area, such as a patient room of a healthcare provider, and the RFID tags may be associated with a hand sanitizing station, an intravenous solution dispenser, and a healthcare provider staff member, each of which play a role in reducing the incidence of hospital-acquired infections through compliance with corresponding patient safety protocols.

    Systems and methods for adaptive multi-feature semantic location sensing

    公开(公告)号:US09807549B2

    公开(公告)日:2017-10-31

    申请号:US14335026

    申请日:2014-07-18

    CPC classification number: H04W4/02 H04W4/043 H04W4/80

    Abstract: This disclosure describes systems, methods, and computer-readable media related to employing adaptive multi-feature semantic location sensing methods to estimate the semantic location of a mobile device. A set of wireless data scans associated with one or more access points at one or more locations may be received. One or more features of the one or more locations may be identified, based upon the set of wireless data scans wherein the features are associated with one or more location metrics. At least one of the one or more access points may be determined to be associated with a first location based upon, at least in part, the set of wireless data scans. A first classifier for the first location may be generated based upon, at least in part, the one or more features and the associated access points.

    SELF-LEARNING LOCATOR FOR MOBILE DEVICE

    公开(公告)号:US20170289764A1

    公开(公告)日:2017-10-05

    申请号:US15087161

    申请日:2016-03-31

    CPC classification number: H04W4/025 H04W4/023 H04W4/027 H04W4/029

    Abstract: A system for locating a mobile device includes an input that accesses a plurality of scans of wireless network access signaling, where the scans indicate received signal measurement results. A similarity measure module executes comparisons between the data of different scans in order to assess the similarity between those scans. The comparisons produce multi-dimensional comparison results. A dimension reduction module reduces dimensionality of the multi-dimensional comparison results to produce a dimension-reduced set of comparison results. A clustering module identifies groupings of similar scans based on the dimension-reduced set of comparison results.

    VISION AND RADIO FUSION BASED PRECISE INDOOR LOCALIZATION

    公开(公告)号:US20200309894A1

    公开(公告)日:2020-10-01

    申请号:US16776233

    申请日:2020-01-29

    Abstract: An embodiment includes at least one computer readable storage medium comprising instructions that when executed enable a system to: receive (a)(i) first radio signal location data for a first object from a radio sensor; and (a)(ii) first visual signal location data for the first object from a camera sensor; perform feature extraction on (b)(i) the first radio signal location data to determine first extracted radio signal features; and (b)(ii) the first visual signal location data to determine first extracted visual signal features; solve a first association problem between the first extracted radio signal features and the first extracted visual signal features to determine first fused location data; and store the first fused location data in the at least one computer readable storage medium. Other embodiments are described herein.

    Home environment management method and apparatus

    公开(公告)号:US09905126B2

    公开(公告)日:2018-02-27

    申请号:US15182437

    申请日:2016-06-14

    CPC classification number: G08C17/02 G06K7/10366

    Abstract: Embodiments of the present disclosure provide techniques and configurations for a system to manage a home environment. In one instance, an apparatus for managing a home environment may be configured to detect variations in parameters of signals provided by RFID tags disposed in the home environment to monitor the home environment. The apparatus may identify one or more conditions of an area of the home environment in which the RFID tags are disposed, based at least in part on the variations in the one or more parameters and respective locations of the RFID tags in the area of the home environment. The apparatus may select one or more actions, from a plurality of actions associated with the home environment, based at least in part on the identified conditions. The selected actions may be performed to respond to the identified conditions. Other embodiments may be described and/or claimed.

    WI-FI SCAN SCHEDULING AND POWER ADAPTATION FOR LOW-POWER INDOOR LOCATION
    18.
    发明申请
    WI-FI SCAN SCHEDULING AND POWER ADAPTATION FOR LOW-POWER INDOOR LOCATION 审中-公开
    WI-FI扫描调度和低功耗室内位置的电源适配

    公开(公告)号:US20160219408A1

    公开(公告)日:2016-07-28

    申请号:US15026636

    申请日:2013-12-20

    Abstract: Embodiments of a mobile station and method for Wi-Fi scan scheduling and power adaption for low-power indoor location are generally described herein. In some embodiments, the mobile station may identify channels, beacon timing and rough signal strength levels of nearby access points (APs) from at least one of a previous full-channel scan or a Wi-Fi fingerprint database and may configure receiver sensitivity based on the rough signal strength levels for receipt of subsequent beacons. The mobile station may wake-up from a low-power state to receive beacons for the nearby access points on the identified channels at times based on the identified beacon timing. The received signal strength indicators (RSSIs) levels of the received beacons may be used for location determination.

    Abstract translation: 本文通常描述用于低功率室内位置的用于Wi-Fi扫描调度和功率适配的移动台和方法的实施例。 在一些实施例中,移动台可以从先前的全频道扫描或Wi-Fi指纹数据库中的至少一个识别邻近接入点(AP)的信道,信标定时和粗略信号强度水平,并且可以基于 接收后续信标的粗糙信号强度水平。 基于所识别的信标定时,移动台可以从低功率状态唤醒以接收所识别信道上的附近接入点的信标。 所接收信标的接收信号强度指示(RSSI)电平可用于位置确定。

    Systems and methods for revisit location detection
    19.
    发明授权
    Systems and methods for revisit location detection 有权
    重新检测位置检测的系统和方法

    公开(公告)号:US09288633B2

    公开(公告)日:2016-03-15

    申请号:US14126096

    申请日:2013-06-28

    Abstract: A method of detecting a revisit position includes receiving at a computing system a plurality of position data points, each of the plurality of position data points including a signal scan measurement. The method farther includes calculating a first signal distance between a first signal scan measurement corresponding to a first position data point of the plurality of position data points and a second signal scan measurement corresponding to a second position data point of the plurality of position data points. The method further includes determining that the first signal distance is less than a first threshold, that the first signal distance is a local minimum for the first position data point, and the first signal distance is a local minimum for the second position data point. The method further includes, based on the determining, identifying the first and second position data points as revisit points.

    Abstract translation: 检测重访位置的方法包括在计算系统处接收多个位置数据点,所述多个位置数据点中的每一个包括信号扫描测量。 该方法还包括计算与多个位置数据点中的第一位置数据点相对应的第一信号扫描测量值和对应于多个位置数据点的第二位置数据点的第二信号扫描测量值之间的第一信号距离。 该方法还包括确定第一信号距离小于第一阈值,第一信号距离是第一位置数据点的局部最小值,第一信号距离是第二位置数据点的局部最小值。 该方法还包括:基于确定,将第一和第二位置数据点识别为重访点。

    GROUP-BASED DATA TRANSFER IN MACHINE-TO-MACHINE SYSTEMS

    公开(公告)号:US20210021673A1

    公开(公告)日:2021-01-21

    申请号:US16835211

    申请日:2020-03-30

    Abstract: A particular device is provided with a communications module to receive signals of a plurality of devices within range of the particular device and further provisioned with grouping logic. The grouping logic is executable by one or more processors to determine from each of the signals a respective identifier for each of the plurality of devices, determine, based at least in part on the identifiers, that a particular subset of the plurality of devices are also included with the particular device in a particular one of a plurality of defined groups, and converge data received from the particular subset of devices based on the particular group.

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