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公开(公告)号：US20230419397A1
公开(公告)日：2023-12-28
申请号：US16912499
申请日：2020-06-25
Applicant: Wells Fargo Bank, N.A.
Inventor： Kristine Ing Kushner , John T. Wright
IPC: G06Q40/02 , G06Q20/40 , G06Q30/02 , G06Q10/10 , G06Q30/00 , G06Q50/18 , G06Q50/00 , G06N20/00 , G06N5/04 , G06K9/00 , G06K9/62
CPC classification number: G06Q40/02 , G06Q20/405 , G06Q30/0201 , G06Q10/1097 , G06Q30/0185 , G06Q50/186 , G06Q50/01 , G06N20/00 , G06N5/04 , G06K9/00335 , G06K9/6256 , G06K9/6253
Abstract: A computer system is described that is configured to make automated decisions to perform financial affair management on behalf of a user who is unable or unwilling to manage their financial affairs. The computer system accepts user-defined rules regarding how to manage the financial affairs of the user and, in some cases, when to assume control of the user's financial accounts. The computer system also generates computer-learned rules based on historical financial behavior patterns of the user. In certain scenarios, the computer system assumes control of the user's financial accounts and continues management and decision making responsibilities on the user's behalf based on the user-defined rules and the computer-learned rules. The computer system may assume control temporarily for an unavailable user or assume control indefinitely for an incompetent user. The computer system may alert the user prior to assuming control of the financial accounts.
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公开(公告)号：US20190253416A1
公开(公告)日：2019-08-15
申请号：US16393071
申请日：2019-04-24
Applicant: EyeVerify Inc.
Inventor： Reza R. Derakhshani
CPC classification number: H04L63/0861 , G06F21/316 , G06F21/32 , G06F21/629 , G06F21/88 , G06F2221/2141 , G06F2221/2147 , G06K9/00335 , G06K9/00771 , H04M1/673 , H04M2250/12 , H04M2250/52 , H04W12/00504 , H04W12/12 , H04W12/1206
Abstract: Systems and methods for electronically leashing a user to a mobile device. A user is authenticated on the mobile device and initial sensor data (e.g., radio signal readings, accelerometer readings, image/video, audio) is collected. Based on a timer or other triggering event, additional sensor data is captured and evaluated. Based on the evaluation of the sensor data, a value representing a likelihood of whether the device remains in possession of the user is determined. Upon determining that this value is less than a threshold, the user is required to reauthenticate on the mobile device to further engage with the device or particular features on the device.
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3.发明申请公开(公告)号：US20190244062A1
公开(公告)日：2019-08-08
申请号：US16059510
申请日：2018-08-09
Applicant: KaiKuTek Inc.
Inventor： Yu-Lin Chao , Chieh Wu , Chih-Wei Chen , Guan-Sian Wu , Chun-Hsuan Kuo , Mike Chun-Hung Wang
CPC classification number: G06K9/6259 , G01S7/414 , G01S7/417 , G01S13/584 , G01S13/89 , G01S2007/356 , G06F3/017 , G06F9/5027 , G06F17/18 , G06K9/00335 , G06K9/6215 , G06K9/6256 , G06K9/6262 , G06K9/6267 , G06N3/08 , G06N20/00 , G06T7/20 , G06T2207/10028 , G06T2207/20056 , G06T2207/20081 , G06T2207/20084 , H03B21/02
Abstract: A performing device of a gesture recognition system executes a performing procedure of a gesture recognition method. The performing procedure includes steps of: receiving a sensing signal; selecting one of sensing frames of the sensing signal; determining a soft label of the selected sensing frame; classifying a gesture event when the soft label of the selected sensing frame is approved. The gesture event is classified to determine the motion of the user. Therefore, the gesture recognition system does not need a predetermined time period to recognize the motion of the user. The time period for recognizing the motion of the user can be dynamical. A total time period for classifying a plurality of motions can be decreased, and the performance of the gesture recognition system can be improved.
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公开(公告)号：US20190243458A1
公开(公告)日：2019-08-08
申请号：US16264541
申请日：2019-01-31
Applicant: KaiKuTek INC.
Inventor： Mike Chun Hung Wang
CPC classification number: G06K9/6259 , G01S7/414 , G01S7/417 , G01S13/584 , G01S13/89 , G01S2007/356 , G06F3/017 , G06F9/5027 , G06F17/18 , G06K9/00335 , G06K9/6215 , G06K9/6256 , G06K9/6262 , G06K9/6267 , G06N3/08 , G06N20/00 , G06T7/20 , G06T2207/10028 , G06T2207/20056 , G06T2207/20081 , G06T2207/20084 , H03B21/02
Abstract: A gesture recognition system includes a transmission unit, a first reception chain, a second reception chain, a customized gesture collection engine and a machine learning accelerator. The transmission unit is used to transmit a transmission signal to detect a gesture. The first reception chain is used to receive a first signal and generate first feature map data corresponding to the first signal. The second reception chain is used to receive a second signal and generate second feature map data corresponding to the second signal. The first signal and the second signal are generated by the gesture reflecting the transmission signal. The customized gesture collection engine is used to generate gesture data according to at least the first feature map data and the second feature map data. The machine learning accelerator is used to perform machine learning with the gesture data.
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公开(公告)号：US20190235633A1
公开(公告)日：2019-08-01
申请号：US16377072
申请日：2019-04-05
Applicant: Leap Motion, Inc.
Inventor： David S. HOLZ
CPC classification number: G06F3/017 , B65D75/5877 , G06F3/005 , G06F3/0304 , G06F3/0346 , G06K9/00335
Abstract: Methods and systems for processing input from an image-capture device for gesture-recognition. The method further includes computationally interpreting user gestures in accordance with a first mode of operation; analyzing the path of movement of an object to determine an intent of a user to change modes of operation; and, upon determining an intent of the user to change modes of operation, subsequently interpreting user gestures in accordance with the second mode of operation.
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Patent Agency Ranking
公开(公告)号：US20190228213A1
公开(公告)日：2019-07-25
申请号：US16218427
申请日：2018-12-12
Applicant: Capital One Services, LLC
Inventor： Colin Robert MACDONALD
CPC classification number: G06K9/00335 , G06F21/316 , G06F21/32 , G06K9/00288 , G06K9/00389 , G06K9/00597 , G06K9/00892 , G06K9/00906 , G06K9/78
Abstract: Systems and methods are provided for authenticating a user of a computing device. The system comprises one or more memory devices storing instructions, and one or more processors configured to execute the instructions to provide, to a computing device associated with a user, an indication of a prescribed authentication parameter. The system also receives image data including an image of the user of the computing device captured using an image sensor of the computing device. The system determines an identity of the user based on an analysis of the received image data, determines whether the received image data includes a feature corresponding to the prescribed authentication parameter, and authenticates the user based at least in part on whether the received image data includes the feature corresponding to the prescribed authentication parameter.
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公开(公告)号：US20190220697A1
公开(公告)日：2019-07-18
申请号：US15870795
申请日：2018-01-12
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor： Kenneth Liam KIEMELE , John Benjamin HESKETH , Evan Lewis JONES , James Lewis NANCE , LaSean Tee SMITH
CPC classification number: G06K9/6227 , G06K9/00335 , G06K9/00362 , G06K9/00771 , G06K9/3233 , G06K9/6262 , G06K9/6288 , G06N20/00 , G06N20/20 , G06T7/75 , H04W4/70
Abstract: Techniques for generating a machine learning model to detect event instances from physical sensor data, including applying a first machine learning model to first sensor data from a first physical sensor at a location to detect an event instance, determining that a performance metric for use of the first machine learning model is not within an expected parameter, obtaining second sensor data from a second physical sensor during a period of time at the same location as the first physical sensor, obtaining third sensor data from the first physical sensor during the period of time, generating location-specific training data by selecting portions of the third sensor data based on training event instances detected using the second sensor data, training a second ML model using the location-specific training data, and applying the second ML model instead of the first ML model for detecting event instances.
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公开(公告)号：US20190213400A1
公开(公告)日：2019-07-11
申请号：US16182861
申请日：2018-11-07
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngsung KIM , Youngjun KWAK , Byung In YOO , Seohyung LEE
CPC classification number: G06K9/00315 , G06K9/00335 , G06K9/00597 , G06K9/6262 , G10L15/02 , G10L15/063
Abstract: A method and apparatus with emotion recognition acquires a plurality of pieces of data corresponding a plurality of inputs for each modality and corresponding to a plurality of modalities; determines a dynamics representation vector corresponding to each of the plurality of modalities based on a plurality of features for each modality extracted from the plurality of pieces of data; determines a fused representation vector based on the plurality of dynamics representation vectors corresponding to the plurality of modalities; and recognizes an emotion of a user based on the fused representation vector.
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9.发明申请公开(公告)号：US20190213398A1
公开(公告)日：2019-07-11
申请号：US16357615
申请日：2019-03-19
Applicant: Bank of America Corporation
Inventor： Sandeep Kumar Chauhan , Pinak Chakraborty , Vidhu Beohar
CPC classification number: G06K9/00288 , G06K9/00302 , G06K9/00335 , G06K9/00744 , G06K9/00771 , G06K9/6224 , G06T7/73 , G06T2207/30196 , H04L67/10 , H04L67/125 , H04L67/18 , H04L67/306
Abstract: A computing platform may receive video, audio, and/or biometric information of one or more people. The computing platform may identify the people based on a comparison of the video, audio, and/or biometric information to stored information in one or more user profiles each associated with the people. For example, the computing platform may compare multiple types of biometric information, including fingerprint, retina scan, facial features, and the like, as part of a process for identifying the people. The computing platform may further determine one or more interactions between the people, and, based on the interactions, determine and/or identify a relationship between the people. The identified relationships may further be used for confirming identifies of the people. Based on the identifications (e.g., biometric, video, audio, relationships), the computing platform may further provide access for the people to one or more services.
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公开(公告)号：US20190205628A1
公开(公告)日：2019-07-04
申请号：US15856773
申请日：2017-12-28
Applicant: QUALCOMM Incorporated
Inventor： Mahbod MOFIDI , Arild Kolsrud , Paul Butler , Xiaoxin Zhang
CPC classification number: G06K9/00335 , H04L5/14 , H04W4/80 , H04W76/10 , H04W84/12
Abstract: Various aspects for motion detection and/or gesture recognition in a wireless communication device are disclosed, and may include determining whether a source address of a received data packet is a source address of the wireless device, determining whether a process for the motion detection and/or gesture recognition is enabled in the wireless device and processing one or more received signals for the motion detection and gesture recognition occurring in a proximity of the wireless device. The one or more received signals are transmitted from a transmit antenna of the wireless device and received via a receive antenna of the wireless device. The received data packet is carried by at least one of the one or more received signals. The received data packet may be a Bluetooth data packet carrying the source address.
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