METHOD AND SYSTEM FOR GENERATING A SYNTHETIC DATABASE OF POSTURES AND GESTURES

    公开(公告)号:EP3408765A2

    公开(公告)日:2018-12-05

    申请号:EP17743849.6

    申请日:2017-01-25

    发明人: PROTTER, Matan

    IPC分类号: G06F17/30 G06F3/048

    摘要: Methods and systems for generating synthetic samples of postures and gestures are provided. In one embodiment, the system may include: a database configured to store at least one sample of a posture or a gesture; a sensing device; and a computer processor configured to: derive values of parameters relating to a specific user and/or environment and generate datasets of gesture and posture samples based on the derived values. In another embodiment, a computer memory may be configured to: obtain at least one gesture or posture of at least one body part; and obtain data sets affecting the appearance of said postures and gestures; and a computer processor configured to generate sets of synthetic samples of said postures and gestures, based on the obtained data sets, wherein the synthetic samples embody virtual variations caused by at least one of the obtained data sets.

    VALUE ADDITION DEPENDENT DATA MINING TECHNIQUES FOR ASSEMBLY LINES

    公开(公告)号:EP3405842A1

    公开(公告)日:2018-11-28

    申请号:EP17700677.2

    申请日:2017-01-18

    申请人: Robert Bosch GmbH

    IPC分类号: G05B23/02

    摘要: Methods, systems, and apparatuses for performing target parameter analysis for an assembly line including a plurality of stations. One method includes receiving, with an electronic processor, training data associated with the assembly line. The training data including a plurality of attributes. The method also includes receiving, with the electronic processor, value addition data for each of the plurality of stations. The value addition data for each of the plurality of stations specifying a non-negative value added by each of the plurality of stations. The method also includes learning, with the electronic processor, a decision tree based on the training data and the value addition data. The method also includes performing the target parameter analysis based on the decision tree.

    INTERACTION SCENARIO DISPLAY CONTROL PROGRAM AND INFORMATION PROCESSING APPARATUS

    公开(公告)号:EP3401803A1

    公开(公告)日:2018-11-14

    申请号:EP18165412.0

    申请日:2018-04-03

    申请人: FUJITSU LIMITED

    IPC分类号: G06F17/30 G06N3/00

    摘要: An interaction scenario display control program that causes a computer to execute a process including: controlling, according (131) to an input, which branch is to be selected to display corresponding contents, of an interaction scenario having a plurality of branches that is stored in a storage unit (120); storing (133) information specifying a selected branch in the storage unit (120); and generating and displaying (132) a display screen on which information indicating which branch of the interaction scenario has been selected and how many times it has been selected is displayed by using letters or illustrations, at a time of generating letters or marks corresponding to each of the branches and displaying a flow of the interaction scenario, by referring to information stored in the storage unit (120).

    WEBPAGE TRAINING METHOD AND DEVICE, AND SEARCH INTENTION IDENTIFICATION METHOD AND DEVICE

    公开(公告)号:EP3401802A1

    公开(公告)日:2018-11-14

    申请号:EP17735865.2

    申请日:2017-01-06

    发明人: WANG, Zhongcun

    IPC分类号: G06F17/30

    摘要: The present disclosure relates to a web page training method and device. The method includes: obtaining a training web page set of a manually annotated class, and generating a web page vector of a web page in the training web page set, specifically including: obtaining an effective history query character string of a first training web page in the training web page set, and performing word segmentation on the effective history query character string; obtaining an effective quantity of times of each segmented word, the effective quantity of times being a total quantity of times the segmented word occurs in the effective history query character string; calculating a segmented word weight of each segmented word according to the effective quantity of times of each segmented word; generating a web page vector of the first training web page according to each segmented word and the corresponding segmented word weight; and generating a web page classification model according to the manually annotated class of the web page in the training web page set and the corresponding web page vector. Training costs are low, efficiency is high, and class annotation may be automatically performed on a web page after the web page classification model is generated, so that an accuracy rate of an identified intention is higher. A search intention identification method and device are further put forward.