Body size estimation apparatus, body size estimation method, and program

    公开(公告)号:US11589778B2

    公开(公告)日:2023-02-28

    申请号:US16978021

    申请日:2018-03-16

    Inventor: Yoshinori Ohashi

    Abstract: Provided are a body size estimation apparatus, a body size estimation method, and a program that enable the estimation of the body size of a user even when the user has not taken a T-pose in advance. A body size data storage unit (50) stores body size data indicating a body size of a user. A posture data acquisition unit (52) acquires position data indicating positions of a plurality of body parts away from each other of the user. A body size estimation unit (54) estimates a body size of the user based on positions of two or more body parts indicated by the position data. A body size update unit (56) updates, in a case where the estimated body size is larger than the body size indicated by the body size data stored in the body size data storage unit (50), the body size indicated by the body size data to the estimated body size.

    Information processing system
    25.
    发明授权

    公开(公告)号:US11360632B2

    公开(公告)日:2022-06-14

    申请号:US16960989

    申请日:2018-01-30

    Abstract: Provided is an information processing system including an application unit that applies a voltage to an application site of a user's body and a detection unit that detects a change in potential at a detection site of the user's body that is different from the application site in a state where the voltage is applied to the application site, and the information processing system determines a contact between a site of the user's body and another object on the basis of the change in potential detected by the detection unit.

    STATE CONTROL DEVICE, LEARNING DEVICE, STATE CONTROL METHOD, LEARNING METHOD, AND PROGRAM

    公开(公告)号:US20220147798A1

    公开(公告)日:2022-05-12

    申请号:US17435866

    申请日:2019-03-29

    Inventor: Yoshinori Ohashi

    Abstract: A target input data acquiring section acquires target input data. A processing executing section executes processing that uses output data which is an output from an LSTM model into which the target input data is input. The loop processing including the acquisition of the target input data and the processing execution is repeatedly executed. A state control section controls whether or not to restrain the update of the states associated with the LSTM model, on the basis of at least one of the input data and the output data.

    HEAD-MOUNTED DISPLAY AND IMAGE DISPLAY METHOD

    公开(公告)号:US20220113543A1

    公开(公告)日:2022-04-14

    申请号:US17430015

    申请日:2019-02-22

    Abstract: When a head-mounted display acquires data of a display image generated on the basis of position/posture information of a head of a user at time and given a distortion corresponding to the distortion of an eyepiece lens, the head-mounted display corrects the image on the basis of position/posture information of the head at time t for display. Then, the head-mounted display corrects chromatic aberrations on the basis of actual distortion coefficients of the lens, and outputs the image to a display panel.

    TRACKER CALIBRATION APPARATUS, TRACKER CALIBRATION METHOD, AND PROGRAM

    公开(公告)号:US20220001272A1

    公开(公告)日:2022-01-06

    申请号:US17285716

    申请日:2018-10-31

    Inventor: Yoshinori Ohashi

    Abstract: A tracker data acquisition section acquires a plurality of pieces of first tracker data. The first tracker data indicates the position of a first tracker that is expressed in a first coordinate system. The tracker data acquisition section acquires a plurality of pieces of second tracker data. The second tracker data indicates the position of a second tracker that is expressed in a second coordinate system. Based on the plurality of pieces of the first tracker data and the plurality of pieces of the second tracker data, a parameter estimation section estimates parameter values for converting the positions expressed in the second coordinate system into expressions in the first coordinate system and the relative position of the second tracker relative to the first tracker.

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