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公开(公告)号：US09070057B2
公开(公告)日：2015-06-30
申请号：US13663955
申请日：2012-10-30
Applicant: General Electric Company
Inventor： Donald Wagner Hamilton , Peter Henry Tu , Ting Yu , Yi Yao , Dashan Gao
CPC classification number: G06K19/06028 , B42D25/382 , G03B7/00 , G06K7/1417 , G06K19/06046 , G07C9/00007 , G07C9/00079 , H04N5/23258 , H04N5/2327 , H04N5/33
Abstract: A method for identifying assets is provided. The method includes illuminating an identification pattern associated with the asset with non-visible light. The identification pattern includes retroreflective material that represents identity information of the asset. The method further includes adjusting either a shutter speed of an image sensor, or a power of the non-visible light, or both, based on motion state of the asset. The image sensor is configured to receive response of the retroreflective material to the non-visible light. Furthermore, the method includes the step of identifying the asset based on decoded identity information. The decoded identity information is obtained by processing the response of the retroreflective material.
Abstract translation: 提供了一种识别资产的方法。 该方法包括用不可见光照亮与该资产相关联的识别模式。 识别模式包括表示资产的身份信息的回射材料。 该方法还包括基于资产的运动状态来调整图像传感器的快门速度或不可见光的功率，或两者。 图像传感器被配置为接收回射材料对不可见光的响应。 此外，该方法包括基于解码的身份信息识别资产的步骤。 通过处理回射材料的响应来获得解码的身份信息。
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公开(公告)号：US10682090B2
公开(公告)日：2020-06-16
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：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：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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Patent Agency Ranking
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：US20200337628A1
公开(公告)日：2020-10-29
申请号：US16901907
申请日：2020-06-15
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：US20180330827A1
公开(公告)日：2018-11-15
申请号：US16045319
申请日：2018-07-25
Applicant: General Electric Company
Inventor： Christopher Donald Johnson , Peter Henry Tu , Andrew Phelps Day , Ting Yu , Jeffrey Richardson Terry
Abstract: An example method includes: classifying lung function risk based on patient attributes and a clinical protocol; generating alarms and incentives for compliance with the clinical protocol based on patient attributes, clinical protocol, and patient lung function risk; determining an orientation and position of a clinical device based on tagged feature(s) of the clinical device compared to identified patient feature(s); monitoring patient interaction with the clinical device; identifying a deviation from the clinical protocol based on the monitored patient interaction, a patient biometric indicator, and a desired setpoint state in the protocol; when a deviation is identified, providing feedback proportional to the deviation, the feedback including an adjustment with respect to the clinical protocol and/or the clinical device; and triggering at least one alarm and/or incentive based on deviation and feedback, wherein the alarm/incentives differs based on whether and to what extent deviation is identified and feedback.
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公开(公告)号：US10061897B2
公开(公告)日：2018-08-28
申请号：US14737132
申请日：2015-06-11
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Christopher Donald Johnson , Peter Henry Tu , Andrew Phelps Day , Ting Yu , Jeffrey Richardson Terry
CPC classification number: G16H50/30 , G06F19/00 , G06F19/3481 , G16H20/40 , G16H40/20
Abstract: An example method includes: classifying lung function risk based on patient attributes and a clinical protocol; generating alarms and incentives for compliance with the clinical protocol based on patient attributes, clinical protocol, and patient lung function risk; determining an orientation and position of a clinical device based on tagged feature(s) of the clinical device compared to identified patient feature(s); monitoring patient interaction with the clinical device; identifying a deviation from the clinical protocol based on the monitored patient interaction, a patient biometric indicator, and a desired setpoint state in the protocol; when a deviation is identified, providing feedback proportional to the deviation, the feedback including an adjustment with respect to the clinical protocol and/or the clinical device; and triggering at least one alarm and/or incentive based on deviation and feedback, wherein the alarm/incentives differs based on whether and to what extent deviation is identified and feedback.
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