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公开(公告)号：US20240160196A1
公开(公告)日：2024-05-16
申请号：US18283411
申请日：2022-03-25
Inventor： Yao ZHOU , Athul M. MATHEW , Ariel BECK , Chandra Suwandi WIJAYA , Nway Nway AUNG , Khai Jun KEK , Yuya SUGASAWA , Jeffry FERNANDO , Yoshinori SATOU , Hisaji MURATA
IPC: G05B19/418 , G05B13/02
CPC classification number: G05B19/41875 , G05B13/0265 , G05B2219/32368
Abstract: First, a plurality of models that predict categories of input data are pooled. At least one of the plurality of models is a model trained by machine learning. Next, each of a plurality of hybrid model candidates that judge the categories are created by selecting and combining two or more models from among the plurality of pooled models. Then, by comparing the plurality of hybrid model candidates, one of the plurality of hybrid model candidates is selected as a hybrid model.
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公开(公告)号：US20220057901A1
公开(公告)日：2022-02-24
申请号：US16997441
申请日：2020-08-19
Inventor： Ariel BECK , Chandra Suwandi WIJAYA , Khai Jun KEK
IPC: G06F3/0482 , G06F3/0484 , 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：US20220409075A1
公开(公告)日：2022-12-29
申请号：US17358401
申请日：2021-06-25
Inventor： Ramdas KRISHNAKUMAR , Muhammad USMAN , Pradeep RAJAGOPALAN , Ariel BECK , Khai Jun KEK , Yasufumi SHIRAKAWA
Abstract: A system (101) for monitoring a physiological condition of a user (104) is disclosed herein. The system (101) includes a receiving module (110) configured to receive a plurality of short-term segments of Heart Rate Variability (HMI) (302) or short-term electrocardiogram (ECG) segments (402) or short voice recordings (602) from the user (104) recorded at different time points. The system includes a stitching module (114) for stitching the plurality of short-term segments and creating a stitched segment. The system further includes an extracting module (116) extracting feature from the stitched segment and a predicting module (118) for predict the physiological condition, based on the feature.
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Patent Agency Ranking
公开(公告)号：US20210304035A1
公开(公告)日：2021-09-30
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 , G06F3/0484 , G06N20/00 , G05B23/02
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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公开(公告)号：US20240020944A1
公开(公告)日：2024-01-18
申请号：US17867173
申请日：2022-07-18
Inventor： Ramdas KRISHNAKUMAR , Ariel BECK , Zong Sheng TANG , Khai Jun KEK , Satyam SATYAM , Masahiro ISHII , Yuto KITAGAWA
IPC: G06V10/72 , G06V10/762 , G06V10/764 , G06V10/74 , G06V10/98
CPC classification number: G06V10/72 , G06V10/762 , G06V10/764 , G06V10/761 , G06V10/993
Abstract: A method and system for sampling and augmenting a dataset associated with a first class and a second class, respectively, to balance the dataset of images is described. The method includes receiving a required number of reduced set of dataset images associated with the first class, creating a plurality of clusters from a set of images associated with the first class, and selecting a representative image from each cluster to provide a reduced set of images. Further, a median image and a non-defect artifact mask is generated corresponding to the set of images associated with the first class. Additionally, a defect foreground is extracted based on the median image and each defect image of another set of images associated with the second class. Finally, the at least one non-defect artifact is removed from the defect foreground to provide a new synthetic defect image for each defect image for augmentation.
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公开(公告)号：US20210304634A1
公开(公告)日：2021-09-30
申请号：US16828725
申请日：2020-03-24
Inventor： Faye JULIANO , Nway Nway AUNG , Aimin ZHAO , Eng Chye LIM , Khai Jun KEK
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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公开(公告)号：US20200311632A1
公开(公告)日：2020-10-01
申请号：US16366963
申请日：2019-03-27
Inventor： Ariel BECK , Vasileios VONIKAKIS , Khai Jun KEK , Chandra SUWANDI WIJAYA
Abstract: The present disclosure relates to a method and system for apportioning tasks to person in an environment. The method comprises capturing a first-value indicating a sympathetic-nerve based activity and a second-value indicating a parasympathetic-nerve based activity for at least one person operating in an environment. Thereafter, a quantitative-relation is determined between the first and second values. At-least one task is assigned for execution by said person within the environment based on such quantitative relation.
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公开(公告)号：US20190239791A1
公开(公告)日：2019-08-08
申请号：US15888895
申请日：2018-02-05
Inventor： Ariel BECK , Jovia Jia Zhen LEE , Khai Jun KEK
CPC classification number: A61B5/165 , A61B3/112 , A61B5/02055 , A61B5/021 , A61B5/02405 , A61B5/053 , A61B5/0816 , A61B5/1116 , A61B5/1123 , A61B5/163 , A61B5/4803 , A61B5/7264 , G16H50/20
Abstract: The present invention relates to a system and method for monitoring and predicting the mental health of a person. Data is collected from multiple sensors including a camera and microphone. Additional sensors can be added to improve the robustness of the system such as heart rate sensors and respiration sensors. The data can be collected in phases that provide contextual awareness to the system. An algorithm can synchronize the data collected in the different phases and the data can be analyzed individually and collectively. Historical data can be included in the analysis to evaluate and predict the mental condition of a person.
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