MODEL GENERATION BASED ON SKETCH INPUT

    公开(公告)号:US20210165561A1

    公开(公告)日:2021-06-03

    申请号:US17045776

    申请日:2018-06-11

    Abstract: An example system includes a sketch interface to receive a sketch input from a user, an object model reservoir to store models of objects, a generator to generate additional models of objects, and a sample matching portion. The additional models generated by the generator are to be added to the object model reservoir. The sample matching portion is to select at least one matched object model from the reservoir to match to the sketch input from the user. The generator is to generate the additional models based on the matched object model.

    CLASSIFICATION OF SUBJECT-INDEPENDENT EMOTION FACTORS

    公开(公告)号:US20210312296A1

    公开(公告)日:2021-10-07

    申请号:US17259966

    申请日:2018-11-09

    Abstract: A method of removing individual variation from emotional representations may include classifying physiological data based on subject-independent emotion factors. The subject-independent emotion factors are isolated from subject-dependent individual factors. Further, a non-transitory computer readable medium includes computer usable program code embodied therewith. The computer usable program code, when executed by the processor classifies, with a first neural network, the physiological data based on subject-independent emotion factors from the trained first neural network. The subject-independent emotion factors have been isolated within the physiological data from subject-dependent individual factors.

    3D visualization
    17.
    发明授权

    公开(公告)号:US10275113B2

    公开(公告)日:2019-04-30

    申请号:US15511747

    申请日:2014-12-19

    Abstract: An example system is provided in according with one implementation of the present disclosure. The system includes a 3D display displaying at least one three-dimensional (3D) visualization, an auxiliary computing device including a multi-touch display and a plurality of sensors, and a behavior analysis engine to perform a behavior analysis of a user by using data from the plurality of sensors. The behavior analysis engine is to: determine an attention engagement level of the user, and determine a pose of the user in relation to the auxiliary computing device. The system further includes an intention analysis engine to determine an intention of the user in relation to the at least one 3D visualization based on the user's attention engagement level and the user's pose, and an interaction mode engine to automatically adjust the system to an interaction mode based on the identified user intention.

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