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公开(公告)号：US10798527B2
公开(公告)日：2020-10-06
申请号：US16137316
申请日：2018-09-20
IPC分类号： H04W4/029 , H04W4/33 , H04L29/08 , H04B17/318
摘要： Cognitive, progressive methods, systems, and computer program products for guiding users throughout a deployment process involving deploying location sensors throughout an indoor environment based on real-time detection of signals from deployed location sensors and/or distances between location sensors are disclosed, according to various embodiments. The inventive concepts allow real-time sensing and adjustment to the nature of the environment, such as geometry, signal interference, etc. based on sensor readings detected by a user using a sensing device. Additional embodiments include generating a map of the environment based on training data including location sensor signal measurements, identifying information, and location information and static data regarding location sensors deployed throughout the environment. Connections are established between the static and training data, and region types within the environment determined and labeled based on the density of different types of connections and/or connection crossings. The labeled regions are output as a map.
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公开(公告)号：US20200100063A1
公开(公告)日：2020-03-26
申请号：US16137316
申请日：2018-09-20
IPC分类号： H04W4/029 , H04B17/318 , H04L29/08
摘要： Cognitive, progressive methods, systems, and computer program products for guiding users throughout a deployment process involving deploying location sensors throughout an indoor environment based on real-time detection of signals from deployed location sensors and/or distances between location sensors are disclosed, according to various embodiments. The inventive concepts allow real-time sensing and adjustment to the nature of the environment, such as geometry, signal interference, etc. based on sensor readings detected by a user using a sensing device. Additional embodiments include generating a map of the environment based on training data including location sensor signal measurements, identifying information, and location information and static data regarding location sensors deployed throughout the environment. Connections are established between the static and training data, and region types within the environment determined and labeled based on the density of different types of connections and/or connection crossings. The labeled regions are output as a map.
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公开(公告)号：US20210341563A1
公开(公告)日：2021-11-04
申请号：US17305900
申请日：2021-07-16
摘要： According to one embodiment, a computer-implemented method for dynamic, cognitive hybrid positioning within an indoor environment includes: receiving fingerprinting training data corresponding to the indoor environment, trilateration data corresponding to the indoor environment, triangulation data corresponding to the indoor environment, or a combination of the fingerprinting training data, the trilateration data, and/or the triangulation data; estimating a layout of the indoor environment based at least in part on the fingerprinting training data; classifying at least some areas of the estimated layout according to one of a plurality of predetermined area types; and determining an optimum positioning technique to utilize for each area of the estimated layout, wherein the optimum positioning technique is determined based at least in part on the area type. Corresponding system and computer program product embodiments are also disclosed, as well as hybrid techniques for determining user position within an environment.
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公开(公告)号：US11150322B2
公开(公告)日：2021-10-19
申请号：US16137349
申请日：2018-09-20
摘要： According to one embodiment, a computer-implemented method for dynamic, cognitive hybrid positioning within an indoor environment includes: receiving fingerprinting training data corresponding to the indoor environment, trilateration data corresponding to the indoor environment, triangulation data corresponding to the indoor environment, or a combination of the fingerprinting training data, the trilateration data, and/or the triangulation data; estimating a layout of the indoor environment based at least in part on the fingerprinting training data; classifying at least some areas of the estimated layout according to one of a plurality of predetermined area types; and determining an optimum positioning technique to utilize for each area of the estimated layout, wherein the optimum positioning technique is determined based at least in part on the area type. Corresponding system and computer program product embodiments are also disclosed, as well as hybrid techniques for determining user position within an environment.
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公开(公告)号：US11893457B2
公开(公告)日：2024-02-06
申请号：US16743417
申请日：2020-01-15
发明人： German H Flores , Mu Qiao , Divyesh Jadav
摘要： Techniques for data integration and labeling are provided. Training real-world signal data is collected for a physical environment, where the training real-world signal data comprises at least one of (i) coordinate information or (ii) a direction to move. Simulated signal data is generated for a first portion of the physical environment, and an aggregate data set is generated comprising the training real-world signal data and the simulated signal data. A machine learning (ML) model is trained using the aggregate data set. A first real-world data point is received, where the first real-world data point does not include coordinate information, and the first real-world data point is labeled based at least in part on coordinate information of the aggregate data set.
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公开(公告)号：US11275597B1
公开(公告)日：2022-03-15
申请号：US17162080
申请日：2021-01-29
发明人： German H Flores , Eric Kevin Butler , Robert Engel , Aly Megahed , Yuya Jeremy Ong , Nitin Ramchandani
摘要： Techniques for augmenting data visualizations based on user interactions to enhance user experience are provided. In one aspect, a method for providing real-time recommendations to a user includes: capturing user interactions with a data visualization, wherein the user interactions include images captured as the user interacts with the data visualization; building stacks of the user interactions, wherein the stacks of the user interactions are built from sequences of the user interactions captured over time; generating embeddings for the stacks of the user interactions; finding clusters of embeddings having similar properties; and making the real-time recommendations to the user based on the clusters of embeddings having the similar properties.
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公开(公告)号：US20200096345A1
公开(公告)日：2020-03-26
申请号：US16141788
申请日：2018-09-25
摘要： According to one embodiment, a computer-implemented method for cognitive fingerprinting of an indoor location is disclosed, and includes: determining calibration information for using a sensing device within an indoor environment; generating instructions corresponding to one or more suggested location sensor placements throughout the indoor environment based at least in part on the calibration information; and issuing the instructions corresponding to the one or more suggested location sensor placements via the sensing device while a user operating the sensing device navigates the indoor environment. Corresponding computer program product and system embodiments are also disclosed.
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公开(公告)号：US12117549B2
公开(公告)日：2024-10-15
申请号：US17305900
申请日：2021-07-16
CPC分类号： G01S5/0257 , G01S5/02521 , G01S5/0284 , G01S5/14 , G01S11/06 , G06N20/00 , H04W4/021 , H04W4/023 , H04W4/025 , H04W4/029 , H04W4/33
摘要： According to one embodiment, a computer-implemented method for dynamic, cognitive hybrid positioning within an indoor environment includes: receiving fingerprinting training data corresponding to the indoor environment, trilateration data corresponding to the indoor environment, triangulation data corresponding to the indoor environment, or a combination of the fingerprinting training data, the trilateration data, and/or the triangulation data; estimating a layout of the indoor environment based at least in part on the fingerprinting training data; classifying at least some areas of the estimated layout according to one of a plurality of predetermined area types; and determining an optimum positioning technique to utilize for each area of the estimated layout, wherein the optimum positioning technique is determined based at least in part on the area type. Corresponding system and computer program product embodiments are also disclosed, as well as hybrid techniques for determining user position within an environment.
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公开(公告)号：US20220207001A1
公开(公告)日：2022-06-30
申请号：US17139190
申请日：2020-12-31
发明人： Yuya Jeremy Ong , Eric Kevin Butler , Robert Engel , German H Flores , Aly Megahed , Nitin Ramchandani
摘要： A method of using a computing device executing to interrelate two or more corpuses of dissimilar data that includes receiving input data from each of two or more corpuses of dissimilar data. The computing device computes a pass for each of the input data into two or more encoder-decoder models. The computing device further obtains a prediction of an identity mapping for each of different domains of knowledge from each of the two or more encoder-decoder models. The computing device additionally computes a distribution distance metric as an output from each of a low-dimensional embedding vector representation from each of the two or more encoder-decoder models. The computing device still further computes a function based on each of the predictions from each of the two or more encoder-decoder models and the distribution distance metrics. The computing device additionally updates the two or more encoder-decoder models.
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公开(公告)号：US10830593B2
公开(公告)日：2020-11-10
申请号：US16141788
申请日：2018-09-25
摘要： Various embodiments of systems, computer program products, and computer-implemented methods for cognitive fingerprinting of an indoor location are disclosed. An exemplary embodiment of the inventive concepts includes: determining calibration information for using a sensing device within an indoor environment; generating instructions corresponding to one or more suggested location sensor placements throughout the indoor environment based at least in part on the calibration information; and issuing the instructions corresponding to the one or more suggested location sensor placements via the sensing device while a user operating the sensing device navigates the indoor environment. Additional features and embodiments of the inventive concepts are also described in this disclosure.
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