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公开(公告)号:US10361000B2
公开(公告)日:2019-07-23
申请号:US15887708
申请日:2018-02-02
Applicant: General Electric Company
Inventor: Christopher Donald Johnson , Peter Henry Tu , Piero Patrone Bonissone , John Michael Lizzi, Jr. , Kunter Seref Akbay , Ting Yu , Corey Nicholas Bufi , Viswanath Avasarala , Naresh Sundaram Iyer , Yi Yao , Kedar Anil Patwardhan , Dashan Gao
Abstract: The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.
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公开(公告)号:US20190139438A1
公开(公告)日:2019-05-09
申请号:US15807688
申请日:2017-11-09
Applicant: General Electric Company
Inventor: Peter Henry Tu , Tao Gao , Jilin Tu
Abstract: A social interaction system and of operation thereof for interpreting social cues and using such analysis to improve social interaction via the providing of a suggested response is provided. The social interaction system includes one or more sensors to obtain social indicator data of one or more individuals in an environment during a social interaction, the social indicator data related to a behavior of the one or more individuals. The social interaction system also includes a processing system configured to determine a social state of the one or more individuals using the social indicator data and determine an optimal social response of a person to the social interaction based on an analysis of the social state. The social interaction system further includes a feedback system to indicate the optimal social response to the person.
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公开(公告)号:US10216983B2
公开(公告)日:2019-02-26
申请号:US15370736
申请日:2016-12-06
Applicant: General Electric Company
Inventor: Peter Henry Tu , Tao Gao , Jilin Tu
Abstract: A security monitoring technique includes receiving data related to one or more individuals from one or more cameras in an environment. Based on the input data from the cameras, agent-based simulators are executed that each operate to generate a model of behavior of a respective individual, wherein an output of each model is symbolic sequences representative of internal experiences of the respective individual during simulation. Based on the symbolic sequences, a subsequent behavior for each of the respective individuals is predicted when the symbolic sequences match a query symbolic sequence for a query behavior.
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公开(公告)号:US20180157902A1
公开(公告)日:2018-06-07
申请号:US15370736
申请日:2016-12-06
Applicant: General Electric Company
Inventor: Peter Henry Tu , Tao Gao , Jilin Tu
CPC classification number: G06K9/00335 , A61B5/0013 , A61B5/0022 , A61B5/0077 , A61B5/165 , A61B5/742 , A61B5/746 , A61B5/747 , A61B2576/00 , G06K9/00281 , G06K9/00302 , G06K9/0055 , G06K9/0061 , G06K9/00718 , G06K9/00778 , G06K9/6277 , G06N3/0445 , G06N3/049 , G06N99/005 , G06T7/277
Abstract: A security monitoring technique includes receiving data related to one or more individuals from one or more cameras in an environment. Based on the input data from the cameras, agent-based simulators are executed that each operate to generate a model of behavior of a respective individual, wherein an output of each model is symbolic sequences representative of internal experiences of the respective individual during simulation. Based on the symbolic sequences, a subsequent behavior for each of the respective individuals is predicted when the symbolic sequences match a query symbolic sequence for a query behavior.
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公开(公告)号:US20180000407A1
公开(公告)日:2018-01-04
申请号:US15197151
申请日:2016-06-29
Applicant: General Electric Company
Inventor: Christopher Donald Johnson , Peter Henry Tu , Andrew Phelps Day , Ting Yu
Abstract: The present disclosure relates to the reduction of pressure ulcers and falls with respect to patients with physical or cognitive impairments who are in bed. A control system assures that the bed and ancillary apparatus are physically set and that patient behaviors are responded to by care providers. Motion is monitored with a non-mutually exclusive portfolio of sensors, and this information is used by one or more reasoning engines. An integrated clinical workflow is informed by the patterns of movement and then the physical environment, patient interaction, and care provider workflow are controlled to reduce the incidence of falls and pressure ulcers in bed ridden patients.
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公开(公告)号:US20170364644A1
公开(公告)日:2017-12-21
申请号:US15692182
申请日:2017-08-31
Applicant: General Electric Company
Inventor: Christopher Donald Johnson , Peter Henry Tu , Piero Patrone Bonissone , John Michael Lizzi, JR. , Kunter Seref Akbay , Ting Yu , Corey Nicholas Bufi , Viswanath Avasarala , Naresh Sundaram Iyer , Yi Yao , Kedar Anil Patwardhan , Dashan Gao
CPC classification number: G16H40/20 , G06F19/00 , G06F19/321 , G06F19/3418 , G06Q10/00 , G08B21/245 , G16H10/60 , G16H30/20 , G16H80/00
Abstract: The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.
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公开(公告)号:US09798923B2
公开(公告)日:2017-10-24
申请号:US15002672
申请日:2016-01-21
Applicant: GENERAL ELECTRIC COMPANY
Inventor: Ting Yu , Peter Henry Tu , Dashan Gao , Kunter Seref Akbay , Yi Yao
CPC classification number: G06K9/00362 , G06K9/00771 , G06K9/6218 , G06K9/6232 , G06K9/66 , G06T7/70
Abstract: A tracking and recognition system is provided. The system includes a computer vision-based identity recognition system configured to recognize one or more persons, without a priori knowledge of the respective persons, via an online discriminative learning of appearance signature models of the respective persons. The computer vision-based identity recognition system includes a memory physically encoding one or more routines, which when executed, cause the performance of constructing pairwise constraints between the unlabeled tracking samples. The computer vision-based identity recognition system also includes a processor configured to receive unlabeled tracking samples collected from one or more person trackers and to execute the routines stored in the memory via one or more algorithms to construct the pairwise constraints between the unlabeled tracking samples.
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公开(公告)号:US20160180199A1
公开(公告)日:2016-06-23
申请号:US15056669
申请日:2016-02-29
Applicant: General Electric Company
Inventor: Ting Yu , Peter Henry Tu , Xiaoming Liu , Ser Nam Lim
CPC classification number: G06K9/6256 , G06K9/52 , G06K9/621 , G06T7/11 , G06T7/194 , G06T7/33 , G06T11/60 , G06T2207/20081 , G06T2207/20221 , G06T2207/30196 , G06T2207/30204 , H04N5/272
Abstract: A novel technique for performing video matting, which is built upon a proposed image matting algorithm that is fully automatic is disclosed. The disclosed methods utilize a PCA-based shape model as a prior for guiding the matting process, so that manual interactions required by most existing image matting methods are unnecessary. By applying the image matting algorithm to these foreground windows, on a per frame basis, a fully automated video matting process is attainable. The process of aligning the shape model with the object is simultaneously optimized based on a quadratic cost function.
Abstract translation: 公开了一种用于执行视频消隐的新技术,其基于所提出的全自动图像消隐算法。 所公开的方法利用基于PCA的形状模型作为先前指导消光处理,使得大多数现有图像消光方法所需的手动交互是不必要的。 通过将图像消隐算法应用于这些前景窗口,在每帧的基础上,可以实现完全自动化的视频消隐处理。 基于二次成本函数,同时优化了形状模型与对象的对齐过程。
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公开(公告)号:US20150324663A1
公开(公告)日:2015-11-12
申请号:US14798160
申请日:2015-07-13
Applicant: General Electric Company
Inventor: Xiaoming Liu , Peter Henry Tu , Ya Xue
CPC classification number: G06K9/6206 , G06K9/00281 , G06K9/6224 , G06K9/623 , G06K9/6263
Abstract: A novel technique for unsupervised feature selection is disclosed. The disclosed methods include automatically selecting a subset of a feature of an image. Additionally, the selection of the subset of features may be incorporated with a congealing algorithm, such as a least-square-based congealing algorithm. By selecting a subset of the feature representation of an image, redundant and/or irrelevant features may be reduced or removed, and the efficiency and accuracy of least-square-based congealing may be improved.
Abstract translation: 公开了一种用于无监督特征选择的新技术。 所公开的方法包括自动选择图像的特征的子集。 另外,可以使用诸如基于最小二乘法的凝结算法的凝结算法来结合特征子集的选择。 通过选择图像的特征表示的子集,可以减少或去除冗余和/或不相关的特征,并且可以提高基于最小二乘法的凝结的效率和精度。
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公开(公告)号:US09082043B2
公开(公告)日:2015-07-14
申请号:US14323813
申请日:2014-07-03
Applicant: General Electric Company
Inventor: Xiaoming Liu , Peter Henry Tu , Ya Xue
CPC classification number: G06K9/6206 , G06K9/00281 , G06K9/6224 , G06K9/623 , G06K9/6263
Abstract: A novel technique for unsupervised feature selection is disclosed. The disclosed methods include automatically selecting a subset of a feature of an image. Additionally, the selection of the subset of features may be incorporated with a congealing algorithm, such as a least-square-based congealing algorithm. By selecting a subset of the feature representation of an image, redundant and/or irrelevant features may be reduced or removed, and the efficiency and accuracy of least-square-based congealing may be improved.
Abstract translation: 公开了一种用于无监督特征选择的新技术。 所公开的方法包括自动选择图像的特征的子集。 另外,可以使用诸如基于最小二乘法的凝结算法的凝结算法来结合特征子集的选择。 通过选择图像的特征表示的子集,可以减少或去除冗余和/或不相关的特征,并且可以提高基于最小二乘法的凝结的效率和精度。
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