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1. 发明申请

US20190035210A1 SYSTEMS, METHODS AND DEVICES FOR MONITORING BETTING ACTIVITIES 审中-公开
公开(公告)号：US20190035210A1
公开(公告)日：2019-01-31
申请号：US16150686
申请日：2018-10-03
申请人： ARB LABS INC.
发明人： Adrian BULZACKI , Vlad CAZAN
IPC分类号： G07F17/32 , G06K9/00 , G06K9/78 , G06K9/46 , G06K9/36 , G06K9/34 , G06K9/32 , G06K9/20 , G06K9/62
CPC分类号： G07F17/3227 , A63F3/00157 , A63F2003/00164 , G06K9/00201 , G06K9/0053 , G06K9/00577 , G06K9/00771 , G06K9/2027 , G06K9/2054 , G06K9/209 , G06K9/3233 , G06K9/34 , G06K9/346 , G06K9/36 , G06K9/46 , G06K9/4642 , G06K9/62 , G06K9/6298 , G06K9/78 , G07F17/3211 , G07F17/322
摘要： System, processes and devices for monitoring betting activities using bet recognition devices and a server. Each bet recognition device has an imaging component for capturing image data for a gaming table surface. The bet recognition device receives calibration data for calibrating the bet recognition device. A server processor coupled to a data store processes the image data received from the bet recognition devices over the network to detect, for each betting area, a number of chips and a final bet value for the chips.

2. 发明申请

US20180357554A1 DYNAMIC LEARNING SYSTEM 审中-公开
公开(公告)号：US20180357554A1
公开(公告)日：2018-12-13
申请号：US15914967
申请日：2018-03-07
申请人： Princeton University
发明人： Elad HAZAN , Karan SINGH , Cyril ZHANG
IPC分类号： G06N7/00 , G06N3/08 , G06K9/00 , G06F17/28 , G06F17/17
CPC分类号： G06N7/005 , G06F17/17 , G06F17/28 , G06K9/0053 , G06K9/00664 , G06N3/08
摘要： A method of performing time series prediction by improper learning comprising calculating a plurality of filters based on a symmetric matrix and generating a mapping term based on a time series input and a function. The method may include comprising iteratively: transforming the function using the calculated plurality of filters; predicting an interim output using the transformed function and the mapping term; computing an error of the interim output based on a known output; and updating the mapping term based on the computed error. The method may include generating the mapping term through iterations over a predetermined interval and performing a time series prediction using the mapping term generated over the iterations.

3. 发明申请

US20180279961A1 MULTI-CHANNEL BALLISTOCARDIOGRAPHY WITH CEPSTRUM SMOOTHING AND QUALITY-BASED DYNAMIC CHANNEL SELECTION 审中-公开
公开(公告)号：US20180279961A1
公开(公告)日：2018-10-04
申请号：US15525043
申请日：2015-11-05
申请人： AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH
发明人： Yongwei ZHU , Jayachandran Manieri , SIang Fook Foo , Cuntai Guan , Zhang Hong Hai , Emily Jian Zong Hao , Phua Eugebe Jiliang
IPC分类号： A61B5/00 , A61B5/11 , A61B5/024 , A61B5/113 , G06K9/00
CPC分类号： A61B5/7257 , A61B5/024 , A61B5/1102 , A61B5/113 , A61B5/6892 , A61B5/7225 , A61B5/7253 , A61B2562/0266 , A61B2562/04 , G06K9/0053
摘要： A method for ballistocardiography (BCG) and a BCG system ballistocardiography (BCG) system for heart beat determination are provided. The method includes digitizing a plurality of signals received from a corresponding plurality of sensors, estimating a plurality of smoothed cepstra corresponding to each of the plurality of digitized signals in response to a smoothed cepstrum analysis of a digital signal at a reception time of each of the plurality of digitized signals, and estimating a fused cepstrum for the plurality of digitized signals in response to the plurality of smoothed cepstra. The method further includes determining a heart rate in response to the plurality of smoothed cepstra and the fused cepstrum.

4. 发明授权

US10062411B2 Apparatus and method for visualizing periodic motions in mechanical components 有权
公开(公告)号：US10062411B2
公开(公告)日：2018-08-28
申请号：US14999660
申请日：2016-06-09
申请人： Jeffrey R. Hay , Mark William Slemp
发明人： Jeffrey R. Hay , Mark William Slemp
IPC分类号： G06K9/00 , G11B27/022 , G06F3/0484 , H04N5/14 , G06F17/30 , G06F3/00 , G06T7/262 , G06T7/00 , G06T7/13 , G06T7/254 , G01N29/12
CPC分类号： G11B27/022 , G01N29/12 , G01N2291/0289 , G01N2291/2693 , G06F3/005 , G06F3/04847 , G06F16/7335 , G06K9/00 , G06K9/00335 , G06K9/0053 , G06K9/00744 , G06T7/0004 , G06T7/13 , G06T7/254 , G06T7/262 , G06T2200/24 , G06T2207/10016 , G06T2207/20056 , G06T2207/20221 , G06T2207/30164 , H04N5/148
摘要： An apparatus for visualizing physical movements includes: a device for acquiring video image files; a data analysis system including processor and memory; a computer program operating in the processor to identify an area in the images where periodic motions associated with physical movement of an object may be detected and quantified, and compute a new image sequence in which the motions are visually amplified; and, a user interface that displays the motion-amplified video image of the mechanical component. An associated method for using the apparatus is also disclosed.

5. 发明申请

US20180197289A1 DYNAMIC ANALYSIS APPARATUS AND DYNAMIC ANALYSIS SYSTEM 审中-公开
公开(公告)号：US20180197289A1
公开(公告)日：2018-07-12
申请号：US15913982
申请日：2018-03-07
申请人： Konica Minolta, Inc.
发明人： Akinori TSUNOMORI , Koichi FUJIWARA , Sho NOJI , Hitoshi FUTAMURA , Satoshi KASAI
IPC分类号： G06T7/00 , G06K9/62 , G06K9/46 , G06K9/00 , A61B5/026 , A61B5/00 , A61B6/00 , G06T7/20 , G06T7/13
CPC分类号： G06T7/0012 , A61B5/026 , A61B5/7267 , A61B6/463 , A61B6/507 , A61B6/5217 , A61B6/5235 , G06K9/0053 , G06K9/46 , G06K9/4642 , G06K9/62 , G06K9/627 , G06K2209/051 , G06T7/13 , G06T7/20 , G06T2207/10116 , G06T2207/20008 , G06T2207/30061 , G06T2207/30104
摘要： A dynamic analysis apparatus may include a setting section which sets a target region in a lung region of a chest dynamic image; a conversion section which calculates a representative value of a pixel signal value in the target region, and converts the pixel signal value; an extraction section which extracts a pulmonary blood flow signal from the image; and a calculation section which calculates a change in the pulmonary blood flow signal, and calculates a feature amount regarding pulmonary blood flow. The setting section may determine a size of the target region based on a size of a body part other than a lung blood vessel, a movement amount of a body part other than the lung blood vessel or subject information of the chest dynamic image, the subject information regarding a subject of the radiation imaging, and the setting section may set the target region.

6. 发明申请

US20180181543A1 METHOD AND APPARATUS FOR THE SENSOR-INDEPENDENT REPRESENTATION OF TIME-DEPENDENT PROCESSES 审中-公开
公开(公告)号：US20180181543A1
公开(公告)日：2018-06-28
申请号：US15831694
申请日：2017-12-05
申请人： David Levin
发明人： David Levin
IPC分类号： G06F17/18
CPC分类号： G06F17/18 , G06K9/0053
摘要： This disclosure shows how a time series of measurements of an evolving system can be processed to create an “inner” time series that is unaffected by any instantaneous invertible, possibly nonlinear transformation of the measurements. An inner time series contains information that does not depend on the nature of the sensors, which the observer chose to monitor the system. Instead, it encodes information that is intrinsic to the evolution of the observed system. Because of its sensor-independence, an inner time series may produce fewer false negatives when it is used to detect events in the presence of sensor drift. Furthermore, if the observed physical system is comprised of non-interacting subsystems, its inner time series is separable; i.e., it consists of a collection of time series, each one being the inner time series of an isolated subsystem. Because of this property, an inner time series can be used to detect a specific behavior of one of the independent subsystems without using blind source separation to disentangle that subsystem from the others. The method is illustrated by applying it to: 1) an analytic example; 2) the audio waveform of one speaker; 3) mixtures of audio waveforms of two speakers.

7. 发明授权

US09950182B2 External defibrillator 有权
公开(公告)号：US09950182B2
公开(公告)日：2018-04-24
申请号：US15046680
申请日：2016-02-18
申请人： Heartsine Technologies Limited
发明人： John McCune Anderson , Cesar Oswaldo Navarro-Paredes , Rebecca DiMaio
IPC分类号： A61N1/00 , A61N1/39 , A61B5/046 , G06K9/00 , A61B5/04
CPC分类号： A61N1/3925 , A61B5/04012 , A61B5/046 , G06K9/0053
摘要： An external defibrillator estimates the phase of ventricular defibrillation (VF) by deriving, from an ECG exhibiting VF, at least one quality marker representing the morphology of the ECG and, therefore, the duration of the VF. The duration of the VF is calculated as a function of the value (s) of the quality marker (s). The quality marker (s) may comprise any one or more of the median slope of the ECG, the average slope of the ECG, the ratio of the power in relatively high and low frequency bands of the ECG, and a measure of the density and amplitude of peaks in the ECG, over a predetermined period.

8. 发明申请

US20180053049A1 APPARATUS AND METHOD FOR DETECTING BRAIN FINGERPRINT USING CAUSAL CONNECTIVITY OF BRAINWAVE 审中-公开
公开(公告)号：US20180053049A1
公开(公告)日：2018-02-22
申请号：US15677589
申请日：2017-08-15
申请人： Korea University Research and Business Foundation
发明人： Byoung-Kyong Min
IPC分类号： G06K9/00 , G06K9/62 , A61B5/0476 , G06F21/32 , A61B5/103 , A61B5/117
CPC分类号： G06K9/00536 , A61B5/04012 , A61B5/0476 , A61B5/04842 , A61B5/103 , A61B5/117 , G06F21/32 , G06K9/00496 , G06K9/00523 , G06K9/0053 , G06K9/0055 , G06K9/62 , G06K9/6267
摘要： When a brain fingerprint is detected, a predetermined visual stimuli is output on a screen of a display, causal connectivity formed by unique EEG signals of a subject between two or more brain regions from among a predetermined plurality of brain regions is detected on the basis of the EEG signals of the subject who selectively attends to a part corresponding to a letter or symbol conceived by the subject from among the visual stimuli output on the screen of the display, an activation pattern of causal connectivity between brain regions is recognized on the basis of the detected causal connectivity, and the subject is identified by using the recognized unique activation pattern of causal connectivity between brain regions as a brain fingerprint.

9. 发明申请

US20180018015A1 METHOD AND DEVICE FOR DETERMINING INPUT INFORMATION 审中-公开
公开(公告)号：US20180018015A1
公开(公告)日：2018-01-18
申请号：US15548462
申请日：2016-01-07
申请人： BEIJING ZHIGU RUI TUO TECH CO., LTD.
发明人： YUANCHUN SHI , YUNTAO WANG , CHUN YU , LIN DU
IPC分类号： G06F3/01 , A61B8/08 , A61B5/026 , A61B5/00 , A61B8/06 , G06K9/00
CPC分类号： G06F3/011 , A61B5/0261 , A61B5/6826 , A61B8/06 , A61B8/488 , A61B8/5223 , A61B2503/12 , G06F1/163 , G06F3/017 , G06K9/00355 , G06K9/0053 , G06K9/00543
摘要： The present application provides a method and device for determining input information, and relates to the field of a wearable device. The method comprises in response to a first part of a body of a user executing an action, acquiring target blood-flow information about the first part or a second part that corresponds to the first part; and determining input information according to the target blood-flow information and reference information. According to the method and device, the body of the user is used as an input interface, to cause an interaction area to be increased, which helps to improve input efficiency and user experience.

10. 发明申请

US20170364731A1 ADAPTIVE SIGNAL DETECTION AND SYNTHESIS ON TRACE DATA 有权
公开(公告)号：US20170364731A1
公开(公告)日：2017-12-21
申请号：US15185983
申请日：2016-06-17
申请人： Li-Cor, Inc.
发明人： Patrick G. Humphrey
IPC分类号： G06K9/00
CPC分类号： G06K9/0053 , G06K9/00503
摘要： Systems and methods for detecting, decoupling and quantifying unresolved signals in trace signal data in the presence of noise with no prior knowledge of the signal characteristics (e.g., signal peak location, intensity and width) of the unresolved signals. The systems and methods are useful for analyzing any trace data signals having one or multiple overlapping constituent signals and particularly useful for analyzing data signals which often contain an unknown number of constituent signals with varying signal characteristics, such as peak location, peak intensity and peak width, and varying resolutions. A general signal model function is assumed for each unknown, constituent signal in the trace signal data. In a first phase, the number of constituent signals and signal characteristics are determined automatically in a parallel fashion by executing multiple simultaneous evaluations iteratively starting with an initial set of trial signals. Making simultaneous evaluations and systematically reducing the number of trial signals allows for convergence to an optimal, final set of signals in a very fast and efficient manner.

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