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1.发明授权公开(公告)号：US12040914B2
公开(公告)日：2024-07-16
申请号：US18047241
申请日：2022-10-17
Applicant: Samsung Electronics Co., Ltd.
Inventor： Khuong N. Nguyen , Guanbo Chen , Hao Chen , Abhishek Sehgal , Rebal Al Jurdi
IPC: H04L12/28 , G06F9/50 , G06F16/958 , H04L41/16 , H04L43/028 , H04L43/062 , H04L47/2425 , H04L47/2441 , H04L67/50
CPC classification number: H04L12/2876 , G06F9/505 , G06F16/958 , H04L41/16 , H04L43/028 , H04L43/062 , H04L47/2425 , H04L47/2441 , H04L67/535
Abstract: A method includes obtaining input features based on network traffic received during a time window. The method also includes generating multiple network service type predictions about the network traffic during the time window using a machine learning (ML) classification system operating on the input features. The method also includes storing the multiple network service type predictions in different time steps in a first-in first-out (FIFO) buffer and generating decisions about a presence of each of multiple service types in the network traffic using a voting algorithm. The method also includes reducing fluctuations in the generated decisions using a logic-based stabilizer module to generate a final network service type decision.
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公开(公告)号：US20220404914A1
公开(公告)日：2022-12-22
申请号：US17821732
申请日：2022-08-23
Applicant: Samsung Electronics Co., Ltd.
Inventor： Wenxun Qiu , Boon Loong Ng , Han Wang , Khuong N. Nguyen
Abstract: An electronic device and a method for gesture recognition are disclosed. The electronic device includes a radar transceiver and a processor operably connected to the radar transceiver. The processor is configured to detect a triggering event. In response to detecting the triggering event, the processor is configured to transmit, via the radar transceiver, radar signals. The processor is also configured to identify a gesture from reflections of the radar signals received by the radar transceiver. The processor is further configured to determine whether the gesture is associated with the triggering event. Based on determining that the gesture is associated with the triggering event, the processor is configured to perform an action indicated by the gesture.
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3.发明公开公开(公告)号：US20240236860A1
公开(公告)日：2024-07-11
申请号：US18493724
申请日：2023-10-24
Applicant: Samsung Electronics Co., Ltd.
Inventor： Khuong N. Nguyen , Abhishek Sehgal , Hao Chen , Guanbo Chen
IPC: H04W52/02
CPC classification number: H04W52/0248
Abstract: Embodiments of the present disclosure provide methods and apparatuses for predicting a quality of experience (QoE) of a user and adjusting target wake time (TWT) operations for the user based on the predicted quality of experience in a wireless local area network communications system. The apparatuses include a communication device comprising a transceiver and a processor operably connected to the transceiver. The transceiver is configured to receive traffic over a wireless network for an application in a TWT operation. The processor is configured to determine network statistics from the traffic, estimate a QoE value for the application based on the network statistics, and determine new TWT parameters for the TWT operation based on the estimated QoE value.
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公开(公告)号：US12026319B2
公开(公告)日：2024-07-02
申请号：US18063055
申请日：2022-12-07
Applicant: Samsung Electronics Co., Ltd.
Inventor： Anum Ali , Priyabrata Parida , Vutha Va , Boon Loong Ng , Khuong N. Nguyen
CPC classification number: G06F3/017 , G01S13/88 , G06V10/454 , G06V40/20
Abstract: A method for end-to-end dynamic gesture recognition using mmWave radar is provided. The method includes triggering an electronic device to activate a gesture recognition mode in response to detecting that a condition for activating the gesture recognition mode is satisfied. The method includes obtaining radar data while the gesture recognition mode is activated, wherein the radar data includes time-velocity data (TVD). The method includes detecting a start and an end of a gesture based on the TVD of the obtained radar data. To classify the gesture, the method includes determining a gesture, from among a set of gesture, that corresponds to a portion of the TVD between the start and the end of the gesture. The method includes outputting an event indicator indicating that a user of the electronic device performed the gesture classified.
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公开(公告)号：US20210232228A1
公开(公告)日：2021-07-29
申请号：US17158794
申请日：2021-01-26
Applicant: Samsung Electronics Co., Ltd.
Inventor： Khuong N. Nguyen , Wenxun Qiu , Vutha Va , Boon Loong Ng
Abstract: An electronic device for gesture recognition, includes a processor operably connected to a transceiver. The transceiver is configured to transmit and receive signals for measuring range and speed. The processor is configured to transmit the signals, via the transceiver. in response to a determination that a triggering event occurred, the processor is configured to track movement of an object relative to the electronic device within a region of interest based on reflections of the signals received by the transceiver to identify range measurements and speed measurements associated with the object. The processor is also configured to identify features from the reflected signals, based on at least one of the range measurements and the speed measurements. The processor is further configured to identify a gesture based in part on the features from the reflected signals. Additionally, the processor is configured to perform an action indicated by the gesture.
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Patent Agency Ranking
公开(公告)号：US20200037392A1
公开(公告)日：2020-01-30
申请号：US16520152
申请日：2019-07-23
Applicant: Samsung Electronics Co., Ltd.
Inventor： Wenxun Qui , Hao Chen , Matthew Tonnemacher , In-sick Jung , Jihoon Sung , Khuong N. Nguyen , Abhishek Sehgal , Jianhua Mo , Jianzhong Zhang , Junyeop Jung , John Wensowitch , Eric Johnson , Namjoon Park
Abstract: A method of an electronic device for a connection management is provided. The method comprises: establishing a communication link with an access point (AP); receiving a triggering indication based on link information measured by the electronic device; determining a quality of the communication link between the electronic device and the AP based on the received triggering indication; comparing, based on the determined quality of the communication link, at least two Q values fetched from a Q table that is determined according to context in which in the electronic device is being used; setting a quantized aggressive index (QAI) value based on the compared at least two Q values; and generating a disconnection command based on the QAI value, wherein the disconnection command is a physical disconnection command or a virtual disconnection command of the communication link between the electronic device and the AP.
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公开(公告)号：US12177779B2
公开(公告)日：2024-12-24
申请号：US17656589
申请日：2022-03-25
Applicant: Samsung Electronics Co., Ltd.
Inventor： Khuong N. Nguyen , Wenxun Qiu , Guanbo Chen , Peshal Nayak
IPC: H04W52/02 , G06F18/2411 , G06F18/2413 , G06V10/764 , H04W84/12
Abstract: A method includes obtaining network traffic information based on network traffic received during a time window. The method also includes determining a network service type using a machine learning classification system operating on the network traffic information. The method also includes determining a latency requirement based on the network service type. The method also includes adjusting one or more Target Wakeup Time (TWT) intervals and a wake duration based on the latency requirement to optimize power consumption of a Wi-Fi station.
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8.发明申请公开(公告)号：US20220214418A1
公开(公告)日：2022-07-07
申请号：US17559872
申请日：2021-12-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Khuong N. Nguyen , Yuming Zhu , Neha Dawar
Abstract: A method includes obtaining signal information based on wireless signals received from a target electronic device via a first antenna pair and a second antenna pair. The first and second antenna pairs are aligned along different axes. The signal information includes channel information, range information, a first angle of arrival (AoA) based on the first antenna pair, and a second AoA based on the second antenna pair. The method also includes obtaining tagging information that identifies an environment in which the electronic device is located. The method also includes generating encoded information from a memory module based on the tagging information. The method further includes initializing a field of view (FoV) classifier based on the encoded information. Additionally, the method includes determining whether the target electronic device is in a FoV of the electronic device based on the FoV classifier operating on the signal information.
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9.发明申请公开(公告)号：US20220038157A1
公开(公告)日：2022-02-03
申请号：US17129820
申请日：2020-12-21
Applicant: Samsung Electronics Co., Ltd.
Inventor： Anum Ali , Jianhua Mo , Khuong N. Nguyen , Boon Loong Ng , Vutha Va
IPC: H04B7/06 , H04B17/309 , H04W24/10 , H04B17/27 , H04B17/382
Abstract: A method for beam management by a user equipment (UE) in a wireless communication system. The method includes determining reference signal measurements from signals received from one or more base stations. The method also includes obtaining, from a motion sensor, motion information of the UE. The method further includes generating beam management information for the beam management based on the reference signal measurements and the motion information. The method additionally includes identifying a beam based on the generated beam management information. The method also includes performing wireless communication based on the identified beam.
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公开(公告)号：US20200300970A1
公开(公告)日：2020-09-24
申请号：US16687367
申请日：2019-11-18
Applicant: Samsung Electronics Co., Ltd.
Inventor： Khuong N. Nguyen , Wenxun Qiu , Boon Loong Ng , Vutha Va , Abhishek Sehgal
Abstract: An electronic device, a method, and computer readable medium are disclosed. The method includes transmitting radar signals via a radar transceiver. The method also includes identifying signals of interest that represent biometric information of a user based on reflections of the radar signals received by the radar transceiver. The method further includes generating an input based on the signals of interest that include the biometric information. The method additionally includes extracting a feature vector based on the input. The method also includes authenticating the user based on comparison of the feature vector to a threshold of similarity with preregistered user data.
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