Report generation for a digital task

    公开(公告)号:US10984003B2

    公开(公告)日:2021-04-20

    申请号:US15706708

    申请日:2017-09-16

    申请人: FUJITSU LIMITED

    摘要: A method of generating a report for a digital task is provided. The method may include receiving an identification of a digital task initiated by a user, and electronically monitoring at least one of user interaction with at least one application while the user performs the digital task via an electronic system and a state of the electronic system while the user performs the digital task via the electronic system. Further, the method may include capturing a plurality of snapshots for the digital task. Each snapshot of the plurality of snapshots may include information for at least of one or more user actions and the state of the electronic system while the user performs the digital task. The method may also include generating a report for the digital task including the plurality of snapshots.

    Healthcare system to change behavior of a user

    公开(公告)号:US10332410B2

    公开(公告)日:2019-06-25

    申请号:US15013942

    申请日:2016-02-02

    申请人: FUJITSU LIMITED

    发明人: Ajay Chander

    摘要: A method to change a behavior of a user includes receiving state data indicative of a current state of a user. The method includes receiving sensor data generated by one or more sensors, the sensor data indicative of one or more behaviors of the user. The method includes receiving payment from the user to purchase a virtual attribute, at least a portion of the payment to be returned to the user responsive to an improvement to the one or more behaviors over an earn-back time period. The method includes determining a behavior-based virtual attribute of the user based on the sensor data. The method includes estimating a future state of the user from the current state of the user, the behavior-based virtual attribute, and the purchased virtual attribute. The method includes generating graphical data including a visualization of the future state of the user to display to the user.

    Behavior shaping using a construction toy

    公开(公告)号:US10163361B2

    公开(公告)日:2018-12-25

    申请号:US15076602

    申请日:2016-03-21

    申请人: FUJITSU LIMITED

    摘要: A method includes acquiring individual assessment data that includes behavior from player of a construction toy. The construction toy includes at least one sensor to detect an activity of the player with the construction toy. The method further includes determining a goal for the player based on the individual assessment data and a set of group assessment data. The method also includes providing a teaching based on the goal. The method includes permitting the player to play with the construction toy with reduced monitoring or intervention by the processing device during a free play period. The method further includes in response to a determination that free play period is over, prompting the player to perform an activity based on the goal. The method also includes in response to a determination that the player has completed the activity, providing a first reinforcement message to the player.

    Bias visualization for data sets
    4.
    发明授权

    公开(公告)号:US11481670B2

    公开(公告)日:2022-10-25

    申请号:US16396242

    申请日:2019-04-26

    申请人: FUJITSU LIMITED

    摘要: A method may include obtaining a data set for analysis, and selecting at least one candidate of bias for predicting whether the data set includes a result that is biased based on the candidate. The method may also include generating a point cloud of the data set based on the candidate and the result. The method may additionally include computing, prior to performing classification on the data set using machine learning, persistence homology on the point cloud based on the candidate and the result. The method may also include plotting persistence barcodes based on the persistence homology, where the persistence barcodes may be indicative of a duration of complexes within the persistence homology, determining a length of a longest barcode in the persistence barcodes, and generating a quantification of the bias based on the longest barcode and a visualization of the bias based on the plot of the persistence barcodes.

    Interactive indoor navigation framework

    公开(公告)号:US11353327B2

    公开(公告)日:2022-06-07

    申请号:US15929966

    申请日:2020-05-31

    申请人: FUJITSU LIMITED

    摘要: According to an aspect of an embodiment, operations include receiving user information comprising motion information associated with a group of users in a built environment and user preference information associated with a group of events hosted in the built environment. The operations further include receiving layout information associated with the built environment and schedule information associated with the group of events. The operations further include predicting event-specific action associated with each user based on the user information, and the layout and schedule information. The operations further include predicting a path for navigation towards an event location associated with one of the group of events based on the predicted event-specific action and historical movement information of the group of users. The operations further include selecting, from the predicted paths, one or paths for navigation and generating navigation suggestions based on the selected paths. The navigation suggestions are displayed on display devices.

    Estimating conditional probabilities

    公开(公告)号:US11222278B2

    公开(公告)日:2022-01-11

    申请号:US15260226

    申请日:2016-09-08

    申请人: FUJITSU LIMITED

    摘要: A method of estimating one or more conditional probabilities may be provided. A method may include determining one or more states based on user input, and determining a similarity measurement between at least one state pair of one or more state pairs. The method may further include determining a likelihood of probability for the at least one state pair of the one or more state pairs. Moreover, the method may include estimating a conditional probability for the at least one state pair of the one or more state pairs based on the determined likelihood of probability and the determined one or more states.

    Accessible machine learning backends

    公开(公告)号:US11216512B2

    公开(公告)日:2022-01-04

    申请号:US16380933

    申请日:2019-04-10

    申请人: FUJITSU LIMITED

    摘要: A method may include directing display of a dataset menu listing datasets representative of graphs. The method may include identifying features in the datasets as corresponding to nodes and edges. The method may include selecting local or global mapping to map categorical feature values to numeric values. Local mapping may be selected in response to a distribution of feature values not corresponding across different graphs. Global mapping may be selected in response to a distribution of the feature values corresponding across different graphs. The method may include directing display of configuration settings that indicate the selection between local and global mapping for training a classification model. The method may include obtaining selected configuration settings. The method may include providing the selected configuration settings and datasets to a machine learning backend, which may utilize the machine learning algorithm, datasets, and selected configuration settings to train the classification model.

    Estimating experienced emotions
    8.
    发明授权

    公开(公告)号:US10410655B2

    公开(公告)日:2019-09-10

    申请号:US15846086

    申请日:2017-12-18

    申请人: FUJITSU LIMITED

    摘要: A method may include obtaining data input including one or more words. The method may include determining a set of expressed emotions and a set of expressed emotion probabilities based on the one or more words. The method may include obtaining a set of likelihood probabilities. Each likelihood probability may correspond to a conditional probability of an expressed emotion given an experienced emotion of a group of experienced emotions. The method may include determining a set of experienced emotions of the group of experienced emotions and a set of experienced emotion probabilities based on the set of expressed emotion probabilities and the set of likelihood probabilities. The method may include selecting an experienced emotion of the set of experienced emotions based on the selected experienced emotion corresponding to the highest experienced emotion probability of the set of experienced emotion probabilities. The method may include presenting the selected experienced emotion.

    Accessible machine learning
    10.
    发明授权

    公开(公告)号:US11481580B2

    公开(公告)日:2022-10-25

    申请号:US15994788

    申请日:2018-05-31

    申请人: FUJITSU LIMITED

    IPC分类号: G06K9/62 G06N20/00

    摘要: According to an aspect of an embodiment, a method may include obtaining a data set that includes categories (or features), and a target criteria. The method may further include obtaining a first decision tree model using the data set. The method may further include ranking the categories based on the first decision tree model and removing low-ranking categories from the data set. The method may further include generating a second decision tree model using the data set. The second decision tree model may include branch nodes. Each of branch nodes may represent a branch criteria. The method may further include pruning a branch node. The method may further include designating a remaining branch nodes as a rule node. The method may further include generating a rule based on the branch criteria of the rule node and presenting the rule in a graphical user interface.