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1.发明公开公开(公告)号：US20240053463A1
公开(公告)日：2024-02-15
申请号：US18174602
申请日：2023-02-24
Applicant: Samsung Electronics Co., Ltd.
Inventor： Saifeng Ni , Vutha Va , Priyabrata Parida , Anum Ali , Boon Loong Ng
CPC classification number: G01S13/62 , G06F3/017 , G01S7/2813
Abstract: A method includes obtaining a stream of radar data into a sliding input data window composed of recent radar frames from the stream. Each radar frame within the data window includes features selected from a predefined feature set and at least one of time-velocity data or time angle data. The method includes, for each radar frame within the data window, receiving a binary prediction indicating whether the radar frame includes a gesture end. The method includes in response to the binary prediction indicating that the radar frame includes the gesture end, triggering an early stop (ES) checker to determine whether an ES condition is satisfied. Determining whether the ES condition is satisfied comprises determining whether a noise frames condition and a valid activity condition are satisfied. The method includes in response to a determination that the ES condition is satisfied, triggering a gesture classifier to predict a gesture type.
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公开(公告)号：US20250004563A1
公开(公告)日：2025-01-02
申请号：US18614612
申请日：2024-03-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Priyabrata Parida , Vutha Va , Boon Loong Ng , Anum Ali , Saifeng Ni
Abstract: An electronic device includes a transceiver configured to transmit and receive radar signals. The electronic device further comprises a processor operatively coupled to the transceiver. The processor is configured to adjust a field of view (FoV) associated with the transceiver based on a plurality of radar frames corresponding to the radar signals, extract a plurality of feature vectors from the plurality of radar frames based on the adjusted FoV. The processor is further configured to identify an activity based on the plurality of feature vectors, perform a gesture magnitude operation, and perform an action based on the gesture and a result of the gesture magnitude operation.
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公开(公告)号：US20250004561A1
公开(公告)日：2025-01-02
申请号：US18414200
申请日：2024-01-16
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vutha Va , Priyabrata Parida , Saifeng Ni , Anum Ali , Boon Loong Ng
Abstract: A method includes obtaining a gesture sample via a gesture classifier. The gesture sample includes parameters of features extracted from the radar signals based on user motion in performance of a gesture. The method includes determining whether to obtain feedback for a target gesture associated with the gesture sample. The method includes in response to a determination to obtain the feedback, obtaining the feedback for the target gesture. The feedback includes a label indicating a type of gesture. The method includes determining whether the gesture sample associated with the label is valid based on comparison to a dataset of pre-existing validated gesture samples and a distance threshold. The method includes in response to determining that the gesture sample associated with the label is valid, determining whether to update a model for the gesture classifier using the validated gesture sample as a training sample.
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公开(公告)号：US20230333660A1
公开(公告)日：2023-10-19
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 , G06V40/20 , G06V10/454 , G01S13/88
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：US20250039735A1
公开(公告)日：2025-01-30
申请号：US18778734
申请日：2024-07-19
Applicant: Samsung Electronics Co., Ltd.
Inventor： Priyabrata Parida , Vutha Va , Anum Ali , Yuqiang Heng , Boon Loong Ng
IPC: H04W28/02 , H04W28/086
Abstract: A UE includes a transceiver. The transceiver is configured to perform network activity for the UE. The UE further includes a processor operably coupled to the transceiver. The processor is configured to determine whether a change in network activity for the UE exceeds a metric, and upon determination that the metric is exceed, initiate an anomalous event detection process, and determine whether an anomalous event is detected. The processor is further configured to, upon detection of an anomalous event, determine a network load level, and modify, based on the determined network load level, a connection configuration of the UE.
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Patent Agency Ranking
公开(公告)号：US20240406788A1
公开(公告)日：2024-12-05
申请号：US18534447
申请日：2023-12-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Anum Ali , Yuqiang Heng , Vutha Va , Priyabrata Parida , Boon Loong Ng
Abstract: A user equipment (UE) includes a transceiver. The transceiver is configured to receive and transmit traffic, over a time step, via a wireless network. The UE further includes a processor. The processor is configured to determine a plurality of statistical features for the traffic received and transmitted over the time step, classify the traffic received and transmitted over the time step into a traffic class based on the statistical features and a traffic classification operation, determine a link condition, and select, based on the traffic class and the link condition, a set of preferred radio frequency (RF) parameters from a table. The transceiver is further configured to transmit UE assistance information (UAI) to the wireless network corresponding with the selected set of preferred RF parameters.
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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：US20230384420A1
公开(公告)日：2023-11-30
申请号：US18068513
申请日：2022-12-19
Applicant: Samsung Electronics Co., Ltd.
Inventor： Priyabrata Parida , Vutha Va , Anum Ali
Abstract: A method includes, during operation of a proximity-detection module of an electronic device: determining a distance, velocity, and angle of a target relative to the electronic device based on radar data obtained from a radar transceiver of the electronic device; adjusting a configuration of the radar transceiver based on at least one of the distance, velocity, or angle of the target; and while at least one of the distance, velocity, or angle is greater than a respective threshold, repeating the determining and adjusting operations. The method also includes, in response to determining that each of the distance, velocity, and angle is less than its respective threshold, determining whether at least one wake-up trigger for gesture-based commands is detected. The method further includes, in response to determining that the at least one wake-up trigger for gesture-based commands is detected, triggering operation of a gesture-recognition module of the electronic device.
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公开(公告)号：US20250007841A1
公开(公告)日：2025-01-02
申请号：US18401253
申请日：2023-12-29
Applicant: Samsung Electronics Co., Ltd.
Inventor： Anum Ali , Yuqiang Heng , Vutha Va , Priyabrata Parida , Boon Loong Ng
IPC: H04L47/12 , H04L43/0888
Abstract: A method of operating a UE includes receiving and transmitting traffic, over a time step, based on a first set of RF parameters received from a NW device. The method further includes classifying the traffic received and transmitted over the time step into a traffic class, selecting a second set of RF parameters based on the traffic class, estimating a throughput demand and a throughput supply, and determining, based on the estimated throughput demand and the estimated throughput supply, whether an anomalous traffic condition has occurred. The method further includes, if an anomalous traffic condition has not occurred, transmitting a request to the NW device to configure the UE with the second set of RF parameters, and if an anomalous traffic condition has occurred, transmitting a request to the NW device to configure the UE with a third set of RF parameters selected to alleviate the anomalous traffic condition.
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公开(公告)号：US20240430737A1
公开(公告)日：2024-12-26
申请号：US18539144
申请日：2023-12-13
Applicant: Samsung Electronics Co., Ltd.
Inventor： Anum Ali , Vutha Va , Yuqiang Heng , Priyabrata Parida , Boon Loong Ng
IPC: H04W28/02
Abstract: Apparatuses and methods for traffic type based quality of experience (QoE) maintenance for mobile devices. A user equipment (UE) includes a transceiver. The transceiver is configured to receive and transmit traffic over a link with a wireless network. The UE further includes a processor operably coupled to the transceiver. The processor is configured to classify the traffic into at least one of real time (RT) traffic or non-real-time (NRT) traffic, generate a link deterioration prediction, select, based on the link deterioration prediction and the traffic class, a QoE maintenance action, and perform the QoE maintenance action.
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