FIRST RESPONDER FEEDBACK-BASED EMERGENCY RESPONSE FLOOR IDENTIFICATION

    公开(公告)号:US20200107160A1

    公开(公告)日:2020-04-02

    申请号:US16681959

    申请日:2019-11-13

    摘要: Known geospatial device coordinates are clustered using a clustering algorithm into device clusters with cluster centroids. Each device cluster corresponds to a geographical location. Each cluster centroid is annotated with a regional floor-height value of the respective geographical location. Current device data of a device, including geographic location and elevation, are received. An approximate current floor upon which the first device is located is determined using the elevation of the first device and the annotated regional floor-height value of a closest cluster centroid, the closest cluster centroid determined based, at least in part, on the geographic location of the first device. An individual is directed to the device's geographic location and approximate current floor. The device clusters are re-computed based upon feedback from the individual regarding the device's actual floor.

    Spatial device clustering-based emergency response floor identification

    公开(公告)号:US11361247B2

    公开(公告)日:2022-06-14

    申请号:US16148952

    申请日:2018-10-01

    IPC分类号: G06N20/00 G06F16/28

    摘要: Historical device positioning data captured from one or more devices over a period of time is received. The historical device positioning data includes historical latitude, longitude, and elevation data of the one or more devices. Building boundaries for a give building are identified based upon the historical latitude and longitude data. The historical device positioning data corresponding to locations within the building boundaries of the building is clustered using a machine learning-based clustering algorithm, resulting in clusters with corresponding cluster centroids. The cluster centroids are associated with respective floors within the building. A current floor of the building on which a specific device is located is determined by mapping current device positioning data of the specific device to the closest cluster centroid.

    Computer-implemented event detection using sonification

    公开(公告)号:US11343545B2

    公开(公告)日:2022-05-24

    申请号:US16366003

    申请日:2019-03-27

    摘要: Computer-implemented event detection includes obtaining, at one or more processors, multimedia data including multiple frames of video data and corresponding audio data. The processor(s) process the multiple frames to detect at least one object and to track the object(s) between two or more of the frames. The processor(s) generate sonification audio data representing a position of the object(s) in the two or more frames, movement of the object(s), or both the position and the movement of object(s). The processor(s) generate combined audio data including the audio data and the sonification audio data. The processor(s) generate one or more feature vectors representing the combined audio data and provide the feature vector(s) as input to a trained event classifier to detect an event represented in the multimedia data.

    COMPUTER-IMPLEMENTED EVENT DETECTION USING SONIFICATION

    公开(公告)号:US20200314458A1

    公开(公告)日:2020-10-01

    申请号:US16366003

    申请日:2019-03-27

    摘要: Computer-implemented event detection includes obtaining, at one or more processors, multimedia data including multiple frames of video data and corresponding audio data. The processor(s) process the multiple frames to detect at least one object and to track the object(s) between two or more of the frames. The processor(s) generate sonification audio data representing a position of the object(s) in the two or more frames, movement of the object(s), or both the position and the movement of object(s). The processor(s) generate combined audio data including the audio data and the sonification audio data. The processor(s) generate one or more feature vectors representing the combined audio data and provide the feature vector(s) as input to a trained event classifier to detect an event represented in the multimedia data.

    First responder feedback-based emergency response floor identification

    公开(公告)号:US10771920B2

    公开(公告)日:2020-09-08

    申请号:US16681959

    申请日:2019-11-13

    摘要: Known geospatial device coordinates are clustered using a clustering algorithm into device clusters with cluster centroids. Each device cluster corresponds to a geographical location. Each cluster centroid is annotated with a regional floor-height value of the respective geographical location. Current device data of a device, including geographic location and elevation, are received. An approximate current floor upon which the first device is located is determined using the elevation of the first device and the annotated regional floor-height value of a closest cluster centroid, the closest cluster centroid determined based, at least in part, on the geographic location of the first device. An individual is directed to the device's geographic location and approximate current floor. The device clusters are re-computed based upon feedback from the individual regarding the device's actual floor.