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公开(公告)号：US09036937B2
公开(公告)日：2015-05-19
申请号：US13230775
申请日：2011-09-12
CPC分类号： G06T5/20
摘要： A repeated integral images method filters image data in only two passes, e.g., the first pass filters horizontal rows of pixels and a second pass filters vertical columns of pixels, or in a single pass. The filter performs at least one infinite impulse response (IIR) filter and at least one finite impulse response (FIR) filter on the image data. A plurality of IIR filters and FIR filters maybe performed to approximate a Gaussian filter. By minimizing the number of passes, the data flow between the processing unit and the storage unit is greatly reduced compared to conventional repeated integral images method thereby improving computation time.
摘要翻译： 重复的积分图像方法仅在两遍中对图像数据进行滤波，例如，第一遍滤波器是水平行像素，第二遍滤波垂直列的像素，或者单次通过。 滤波器对图像数据执行至少一个无限脉冲响应（IIR）滤波器和至少一个有限脉冲响应（FIR）滤波器。 可以执行多个IIR滤波器和FIR滤波器以近似高斯滤波器。 通过最小化通过次数，与传统的重复积分图像方法相比，处理单元和存储单元之间的数据流大大减少，从而改善了计算时间。
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公开(公告)号：US20120230600A1
公开(公告)日：2012-09-13
申请号：US13230775
申请日：2011-09-12
IPC分类号： G06K9/40
CPC分类号： G06T5/20
摘要： A repeated integral images method filters image data in only two passes, e.g., the first pass filters horizontal rows of pixels and a second pass filters vertical columns of pixels, or in a single pass. The filter performs at least one infinite impulse response (IIR) filter and at least one finite impulse response (FIR) filter on the image data. A plurality of IIR filters and FIR filters maybe performed to approximate a Gaussian filter. By minimizing the number of passes, the data flow between the processing unit and the storage unit is greatly reduced compared to conventional repeated integral images method thereby improving computation time.
摘要翻译： 重复的积分图像方法仅在两遍中对图像数据进行滤波，例如，第一遍滤波器是水平行像素，第二遍滤波垂直列的像素，或者单次通过。 滤波器对图像数据执行至少一个无限脉冲响应（IIR）滤波器和至少一个有限脉冲响应（FIR）滤波器。 可以执行多个IIR滤波器和FIR滤波器以近似高斯滤波器。 通过最小化通过次数，与传统的重复积分图像方法相比，处理单元和存储单元之间的数据流大大减少，从而改善了计算时间。
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公开(公告)号：US09075446B2
公开(公告)日：2015-07-07
申请号：US12972005
申请日：2010-12-17
CPC分类号： G06F7/02 , G06F2207/02 , H03M7/30 , H03M7/3059 , H03M7/3062
摘要： Certain aspects of the present disclosure relate to a method for quantizing signals and reconstructing signals, and/or encoding or decoding data for storage or transmission. Points of a signal may be determined as local extrema or points where an absolute rise of the signal is greater than a threshold. The tread and value of the points may be quantized, and certain of the quantizations may be discarded before the quantizations are transmitted. After being received, the signal may be reconstructed from the quantizations using an iterative process.
摘要翻译： 本公开的某些方面涉及用于量化信号和重构信号的方法，和/或用于存储或传输的数据的编码或解码的方法。 可以将信号的点确定为局部极值或信号的绝对上升大于阈值的点。 可以对点的胎面和值进行量化，并且在量化被发送之前某些量化可能被丢弃。 在接收之后，可以使用迭代过程从量化重构信号。
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公开(公告)号：US08917798B2
公开(公告)日：2014-12-23
申请号：US12777740
申请日：2010-05-11
CPC分类号： H04W52/0209 , A61B5/0002 , A61B5/002 , A61B5/0024 , A61B5/7232 , A61B2560/0209 , G01D21/00 , G16H40/63 , H04J3/0658 , H04W4/70
摘要： Certain aspects of the present disclosure relate to a method for compressed sensing (CS). The CS is a signal processing concept wherein significantly fewer sensor measurements than that suggested by Shannon/Nyquist sampling theorem can be used to recover signals with arbitrarily fine resolution. In this disclosure, the CS framework is applied for sensor signal processing in order to support low power robust sensors and reliable communication in Body Area Networks (BANs) for healthcare and fitness applications.
摘要翻译： 本公开的某些方面涉及压缩感测（CS）的方法。 CS是一种信号处理概念，其中可以使用比香农/奈奎斯特采样定理所建议的传感器测量少得多的传感器测量来以任意精细的分辨率恢复信号。 在本公开中，CS框架被应用于传感器信号处理，以便支持用于医疗保健和健身应用的身体局域网（BAN）中的低功率鲁棒传感器和可靠的通信。
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5.发明申请公开(公告)号：US20120265716A1
公开(公告)日：2012-10-18
申请号：US13269513
申请日：2011-10-07
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06K9/00
摘要： Example methods, apparatuses, or articles of manufacture are disclosed herein that may be utilized, in whole or in part, to facilitate or support one or more operations or techniques for machine learning of known or unknown motion states with sensor fusion.
摘要翻译： 本文公开了可以全部或部分地利用传感器融合来促进或支持用于机器学习已知或未知运动状态的一个或多个操作或技术的示例性方法，装置或制品。
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6.发明授权公开(公告)号：US08718980B2
公开(公告)日：2014-05-06
申请号：US12684604
申请日：2010-01-08
IPC分类号： H03F1/26
CPC分类号： A61B5/0002 , A61B5/0024 , A61B5/02416 , A61B5/0402 , A61B5/11 , A61B5/14551 , A61B5/721 , A61B5/7232
摘要： Certain aspects of the present disclosure relate to a technique for mitigating artifacts of biophysical signals in a body area network. Information from multiple sensors (including motion information of the body) can be employed in mitigating the artifacts. The biophysical signals in the body area network can be compressively sensed.
摘要翻译： 本公开的某些方面涉及用于减轻身体区域网络中的生物物理信号的伪影的技术。 来自多个传感器的信息（包括身体的运动信息）可用于减轻伪影。 身体区域网络中的生物物理信号可以被压缩感测。
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7.发明申请METHOD AND APPARATUS FOR ARTIFACTS MITIGATION WITH MULTIPLE WIRELESS SENSORS 有权用多种无线传感器进行人工减轻的方法和装置公开(公告)号：US20110066381A1
公开(公告)日：2011-03-17
申请号：US12684604
申请日：2010-01-08
CPC分类号： A61B5/0002 , A61B5/0024 , A61B5/02416 , A61B5/0402 , A61B5/11 , A61B5/14551 , A61B5/721 , A61B5/7232
摘要： Certain aspects of the present disclosure relate to a technique for mitigating artifacts of biophysical signals in a body area network. Information from multiple sensors (including motion information of the body) can be employed in mitigating the artifacts. The biophysical signals in the body area network can be compressively sensed.
摘要翻译： 本公开的某些方面涉及用于减轻身体区域网络中的生物物理信号的伪影的技术。 来自多个传感器的信息（包括身体的运动信息）可用于减轻伪影。 身体区域网络中的生物物理信号可以被压缩感测。
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公开(公告)号：US20120011142A1
公开(公告)日：2012-01-12
申请号：US12832918
申请日：2010-07-08
CPC分类号： G06K9/4671
摘要： A database for object recognition is modified based on feedback information received from a mobile platform. The feedback information includes information with respect to an image of an object captured by the mobile platform. The feedback information, for example, may include the image, features extracted from the image, a confidence level for the features, posterior probabilities of the features belonging to an object in the database, GPS information, and heading orientation information. The feedback information may be used to improve the database pruning, add content to the database or update the database compression efficiency. The information feedback to the server by the mobile platform may be determined based on a search of a portion of the database performed by the mobile platform using features extracted from a captured query image.
摘要翻译： 基于从移动平台接收的反馈信息修改用于对象识别的数据库。 反馈信息包括关于由移动平台捕获的对象的图像的信息。 例如，反馈信息可以包括图像，从图像提取的特征，特征的置信水平，属于数据库中的对象的特征的后验概率，GPS信息和航向方向信息。 反馈信息可用于改进数据库修剪，向数据库添加内容或更新数据库压缩效率。 可以基于由移动平台使用从捕获的查询图像提取的特征来执行的数据库的一部分的搜索来确定由移动平台向服务器反馈的信息。
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9.发明授权公开(公告)号：US08756173B2
公开(公告)日：2014-06-17
申请号：US13269513
申请日：2011-10-07
CPC分类号： G06N99/005 , G06K9/00
摘要： Example methods, apparatuses, or articles of manufacture are disclosed herein that may be utilized, in whole or in part, to facilitate or support one or more operations or techniques for machine learning of known or unknown motion states with sensor fusion.
摘要翻译： 本文公开了可以全部或部分地利用传感器融合来促进或支持用于机器学习已知或未知运动状态的一个或多个操作或技术的示例性方法，装置或制品。
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10.发明申请METHODS AND APPARATUSES FOR USE IN CLASSIFYING A MOTION STATE OF A MOBILE DEVICE 审中-公开用于分类移动设备的运动状态的方法和装置公开(公告)号：US20130046505A1
公开(公告)日：2013-02-21
申请号：US13209886
申请日：2011-08-15
IPC分类号： G06F15/00
CPC分类号： G01C21/165 , G01C22/006 , G01C25/005
摘要： Methods and apparatuses are provided that may be implemented in a mobile device to establish an orientation invariant reference frame based, at least in part, on measurement values from a three-dimensional accelerometer fixed to the mobile device; transform subsequent inertial sensor measurements to the reference frame; and classify a motion state of the mobile device relative to the reference frame based, at least in part, on the transformed inertial sensor measurements.
摘要翻译： 提供了可以在移动设备中实现的方法和装置，其至少部分地基于来自固定到移动设备的三维加速度计的测量值来建立定向不变参考帧; 将随后的惯性传感器测量值转换为参考系; 并且至少部分地基于变换后的惯性传感器测量值，对移动设备相对于参考帧的运动状态进行分类。
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