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公开(公告)号：US10219115B2
公开(公告)日：2019-02-26
申请号：US15825840
申请日：2017-11-29
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor： Rudolph Mappus , Jeremy Fix , Ravishankar Doejode , James Morgan White
IPC: H04W4/02
Abstract: More efficient mobile device location data can be obtained by estimating a most likely location point in a coverage pattern using a kernel density estimation technique. The kernel density estimation technique can provide a continuous estimate of the most frequented locations of a mobile device(s) within a coverage area. For each wireless sector, the collected location data can grouped to the closest geographic coordinate system, and an inference can be made based on the grouped data.
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公开(公告)号：US11126917B2
公开(公告)日：2021-09-21
申请号：US15852656
申请日：2017-12-22
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Juliette Zerick , William Cottrill , Sheldon Meredith , Ravishankar Doejode
Abstract: A system for predicting injuries includes a plurality of sensors configured to generate sensor data and an apparatus having an input-output interface and a processor coupled to the input-output interface and wherein the processor is coupled to a memory, the memory having stored thereon executable instructions that when executed by the processor cause the processor to effectuate operations including receiving the sensor data, applying analytics to the sensor data, based on the applying step, predicting a likely injury, and transmitting a report based on the predicting step.
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Patent Agency Ranking
公开(公告)号：US20170150318A1
公开(公告)日：2017-05-25
申请号：US14947152
申请日：2015-11-20
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor： Rudolph Mappus , Jeremy Fix , Ravishankar Doejode , James Morgan White
IPC: H04W4/02
CPC classification number: H04W4/025
Abstract: More efficient mobile device location data can be obtained by estimating a most likely location point in a coverage pattern using a kernel density estimation technique. The kernel density estimation technique can provide a continuous estimate of the most frequented locations of a mobile device(s) within a coverage area. For each wireless sector, the collected location data can grouped to the closest geographic coordinate system, and an inference can be made based on the grouped data.
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公开(公告)号：US20210271991A1
公开(公告)日：2021-09-02
申请号：US17320984
申请日：2021-05-14
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Juliette Zerick , William Cottrill , Sheldon Meredith , Ravishankar Doejode
Abstract: A system for predicting injuries includes a plurality of sensors configured to generate sensor data and an apparatus having an input-output interface and a processor coupled to the input-output interface and wherein the processor is coupled to a memory, the memory having stored thereon executable instructions that when executed by the processor cause the processor to effectuate operations including receiving the sensor data, applying analytics to the sensor data, based on the applying step, predicting a likely injury, and transmitting a report based on the predicting step.
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公开(公告)号：US20190197414A1
公开(公告)日：2019-06-27
申请号：US15852656
申请日：2017-12-22
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Juliette Zerick , William Cottrill , Sheldon Meredith , Ravishankar Doejode
Abstract: A system for predicting injuries includes a plurality of sensors configured to generate sensor data and an apparatus having an input-output interface and a processor coupled to the input-output interface and wherein the processor is coupled to a memory, the memory having stored thereon executable instructions that when executed by the processor cause the processor to effectuate operations including receiving the sensor data, applying analytics to the sensor data, based on the applying step, predicting a likely injury, and transmitting a report based on the predicting step.
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公开(公告)号：US20180091948A1
公开(公告)日：2018-03-29
申请号：US15825840
申请日：2017-11-29
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor： Rudolph Mappus , Jeremy Fix , Ravishankar Doejode , James Morgan White
IPC: H04W4/02
CPC classification number: H04W4/025
Abstract: More efficient mobile device location data can be obtained by estimating a most likely location point in a coverage pattern using a kernel density estimation technique. The kernel density estimation technique can provide a continuous estimate of the most frequented locations of a mobile device(s) within a coverage area. For each wireless sector, the collected location data can grouped to the closest geographic coordinate system, and an inference can be made based on the grouped data.
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公开(公告)号：US09848301B2
公开(公告)日：2017-12-19
申请号：US14947152
申请日：2015-11-20
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor： Rudolph Mappus , Jeremy Fix , Ravishankar Doejode , James Morgan White
IPC: H04W4/02
CPC classification number: H04W4/025
Abstract: More efficient mobile device location data can be obtained by estimating a most likely location point in a coverage pattern using a kernel density estimation technique. The kernel density estimation technique can provide a continuous estimate of the most frequented locations of a mobile device(s) within a coverage area. For each wireless sector, the collected location data can grouped to the closest geographic coordinate system, and an inference can be made based on the grouped data.
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