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公开(公告)号：US11507252B2
公开(公告)日：2022-11-22
申请号：US16997441
申请日：2020-08-19
Inventor： Ariel Beck , Chandra Suwandi Wijaya , Khai Jun Kek
IPC: G06F3/0482 , G06F3/04845 , G06K9/62 , G06N20/00
Abstract: A graphical user interface (GUI) for forming hierarchically arranged clusters of items and operating thereupon through an electronic device equipped with an input-device and a display-screen is provided. The GUI comprises a first area configured to display a graphical-tree representation having a plurality of hierarchical levels, each of said level corresponds to at least one cluster of content-items formed by execution of a machine-learning classifier over a plurality of input content items. A second area is configured to display a dataset corresponding to the content-items classified within the clusters. A third area is configured to display a plurality of types of content representations with respect to each selected cluster, said representations corresponding to content-items classified within the cluster.
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公开(公告)号：US11538355B2
公开(公告)日：2022-12-27
申请号：US16828725
申请日：2020-03-24
Inventor： Faye Juliano , Nway Nway Aung , Aimin Zhao , Eng Chye Lim , Khai Jun Kek
IPC: G06F17/00 , G09B19/00 , G10L15/22 , G06F3/01 , G06K9/62 , G10L15/18 , G06V40/10 , G06V40/20 , G06V40/16 , G09B7/00
Abstract: A method for predicting a condition of living-being in an environment, the method including capturing image-data associated with the at-least one person and based thereupon determining a current-condition of the person; receiving content from a plurality of content-sources with respect to said at least one person being imaged, said content defined by at least one of text and statistics; defining one or more weighted parameters based on allocating a plurality of weights to at least one of the captured image data and the received content based on the current-condition; and predicting, by a predictive-analysis module, a condition of the at-least one person based on analysis of the one or more weighted parameters.
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3.发明申请公开(公告)号：US20230111765A1
公开(公告)日：2023-04-13
申请号：US17500833
申请日：2021-10-13
Inventor： Zong Sheng Tang , Ariel Beck , Khai Jun Kek , Chandra Suwandi Wijaya
IPC: G06K9/62
Abstract: The present subject matter describes a method for labeling data in a computing system based on artificial intelligent techniques. The method comprises receiving input data and ordering the received input-data in a plurality of classes inferred based on at-least one of clustering and anomaly detection. The method further comprises receiving one more manual annotated labels for the ordered data. A first machine-learning (ML) model is trained with respect to the ordered data and thereby generating new labels. The performance of the first ML model is computed based on a comparison between the manual labels and the new labels. The labels are automatically propagated to unlabelled-portion of the ordered data based on execution of the first ML model based on accuracy of first ML model being above a predefined threshold.
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公开(公告)号：US10762356B2
公开(公告)日：2020-09-01
申请号：US15984963
申请日：2018-05-21
Inventor： Ariel Beck , Khai Jun Kek , Vasileios Vonikakis , Chandra Suwandi Wijaya
Abstract: There is provided a computer-implemented method for generating an output with respect to a group of individuals. The method includes: identifying the group of individuals amongst a plurality of individuals in an area being monitored by one or more sensors; determining, for each individual in the group of individuals, one or more individual-based features associated with the individual based on sensing data obtained from the one or more sensors; determining a group characteristic information associated with the group of individuals based on the one or more individual-based features determined for each individual in the group; and generating the output based on the group characteristic information determined for the group of individuals. There is also provide a corresponding system for generating an output with respect to a group of individuals.
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5.发明授权公开(公告)号：US10357195B2
公开(公告)日：2019-07-23
申请号：US15666017
申请日：2017-08-01
Inventor： Ariel Beck , Khai Jun Kek
IPC: A61B5/18 , B60W40/08 , A61B5/16 , A61B5/024 , A61B5/1172 , A61B5/1171 , A61B5/00
Abstract: A system and method for monitoring the condition of the driver of a vehicle including both the level of distraction being experienced by him/her as well his/her cardiac health are described. The system can detect and predict behavioral and cognitive distraction in real time. It can also monitor a driver's physical condition, detect and predict health events such as a myocardial infarction. The system can fuse inputs from various sensors and components including vehicle information (through CAN networks or other), IR camera, heart rate sensors, eye tracking and pupillometry technology. The distraction detection and health monitoring can be done in separate modules. Fusion algorithms can detect and predict risk related to the driver's lack of attention and the likelihood that he/she is or will experience a cardiac event.
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Patent Agency Ranking
公开(公告)号：US20240119470A1
公开(公告)日：2024-04-11
申请号：US17955053
申请日：2022-09-28
Inventor： Debdeep PAUL , Chandra Suwandi Wijaya , Yizhou Huang , Khai Jun Kek , Koji Miura
IPC: G06Q30/02
CPC classification number: G06Q30/0202
Abstract: According to an embodiment, a method for generating a forecast of a timeseries is disclosed. The method comprises receiving a set of features comprising data and timeseries to be used by each of a plurality of prediction models for generating the forecast. Further, the method comprises generating using the set of features, a plurality of forecast results based on an ensemble of the plurality of prediction models. Furthermore, the method comprises optimizing the plurality of forecast results associated with a respective forecast module. Additionally, the method comprises probabilistically combining the outputs of the plurality of optimization modules. Moreover, the method comprises outputting a final forecast based on the combination of the at least two forecast results.
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公开(公告)号：US11564634B2
公开(公告)日：2023-01-31
申请号：US16366939
申请日：2019-03-27
Inventor： Vasileios Vonikakis , Ariel Beck , Khai Jun Kek
IPC: A61B5/00 , A61B5/0205 , A61B5/11 , A61B5/117 , A61B5/024
Abstract: The present subject matter discloses a system(s) and a method(s) for determining a health state of an individual. According to an embodiment, a method comprises measuring, by a heart rate sensor, a heart rate of the individual during operation within the environment. The method further comprises outputting, by a pressure sensing platform, pressure data of the individual. Further, the method comprises outputting, by an image capturing device, image data of the individual. The method further comprises inferring, by a processing unit, an amount of fat of the individual in the image data. The method further comprises updating, by the processing unit, the amount of fat of the individual using the pressure data. The method further comprises controlling, by the processing unit, a threshold for determining the health state of the individual, using the amount of fat and the heart rate of the individual.
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公开(公告)号：US20220058669A1
公开(公告)日：2022-02-24
申请号：US17001025
申请日：2020-08-24
Inventor： Yongning Yin , Debdeep Paul , Yizhou Huang , Khai Jun Kek
Abstract: Method and system is disclosed for forecasting demand with respect to an entity. The method comprises receiving a plurality of input data-sets associated with time-series data, wherein each of said data-sets refers a time-based variation of one or more variables in accordance with a designated time-interval. At least one transformation-result is generated by transforming time-intervals of at least one input dataset based on a plurality of time interval transformation models. A plurality of first intermediate forecast results are predicted based on a plurality of demand forecasting models from the at-least one transformation result. An aggregated result is generated from the plurality of the first intermediate forecast results through an ensemble-model to thereby render said aggregated result as a final prediction result.
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公开(公告)号：US20160084870A1
公开(公告)日：2016-03-24
申请号：US14785605
申请日：2014-04-17
Inventor： Takashi Imanaka , Khai Jun Kek , Rie Okamoto , Tsuyoshi Sakaue , Hiroshi Nakatsuka
IPC: G01P15/08 , G01C19/5783 , G01L19/06
CPC classification number: G01P15/08 , G01C19/5783 , G01L19/06 , G01L19/0618 , G01P15/123 , G01P15/125 , G01P2015/0828 , G01P2015/0871
Abstract: A sensor includes a first substrate, a supporter connected to the first substrate, a weight facing the first substrate, a beam of which first end is connected to the supporter and of which second end is connected to the weight, a second substrate facing the weight, and a first projection disposed on the first substrate. This senor allows effectively preventing the beam from a breakage caused by the beam twisted due to a rotation of the weight when an impact is applied to the sensor. The sensor thus can improve anti-impact property.
Abstract translation: 传感器包括第一基板，连接到第一基板的支撑件，面向第一基板的重物，第一端连接到支撑件并且其第二端连接到重物的梁，面向重物的第二基板 以及设置在第一基板上的第一突起。 该传感器允许有效地防止由于当对传感器施加冲击时由于重量的旋转而使梁扭曲引起的断裂。 因此，传感器可以提高抗冲击性能。
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公开(公告)号：US11321620B2
公开(公告)日：2022-05-03
申请号：US17216130
申请日：2021-03-29
Inventor： Rajesh Phaye Saisamarth , Aryel Beck , Khai Jun Kek , Shunsaku Toshihiro
IPC: G06N5/04 , G06T7/00 , G06F3/0482 , G06F3/04847 , G05B23/02 , G06N20/00
Abstract: The present subject matter describes a method to detect anomaly in an environment based on AI techniques. The method comprises receiving one or more data representations of one or more objects present in an environment. A first-type of information is captured from a first-area within the one or more data representations. A second-type of information from a second-area different than the first area in the data representations is also captured. A third information is generated from the first information, said third information corresponding to predicted information for the second area using one or more artificial-intelligence models for evaluating the second information. The third information is compared with the second information to determine abnormality with respect to state or operation of one or more objects within the environment.
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