SYSTEM AND METHOD FOR DETECTING HAND GESTURES IN A 3D SPACE

    公开(公告)号:US20190034714A1

    公开(公告)日:2019-01-31

    申请号:US16069683

    申请日:2017-01-31

    Abstract: A system for detecting hand gestures in a 3D space comprises a 3D imaging unit. The processing unit generates a foreground map of the at least one 3D image by segmenting foreground from background and a 3D sub-image of the at least one 3D image that includes the image of a hand by scaling a 2D intensity image, a depth map and a foreground map of the at least one 3D image such that the 3D sub-image has a predetermined size and by rotating the 2D intensity image, the depth map and the foreground map of the at least one 3D image such that a principal axis of the hand is aligned to a predetermined axis in the 3D sub-image. Classifying a 3D image comprises distinguishing the hand in the 2D intensity image of the 3D sub-image from other body parts and other objects and/or verifying whether the hand has a configuration from a predetermined configuration catalogue. Further, the processing unit uses a convolutional neural network for the classification of the at least one 3D image.

    SYSTEM AND METHOD FOR PREDICTING A TOUCH POSITION OF A POINTER ON A TOUCH-ENABLED UNIT OR DETERMINING A POINTING DIRECTION IN 3D SPACE

    公开(公告)号:US20190004667A1

    公开(公告)日:2019-01-03

    申请号:US16003257

    申请日:2018-06-08

    Inventor: Alexander Barth

    Abstract: A system for predicting a touch position of a pointer on a touch-enabled unit includes a 3D imaging unit, a processing unit coupled to the 3D imaging unit, and a touch-enabled unit coupled to the processing unit. The 3D imaging unit is configured to monitor an interaction zone in front of the touch-enabled unit. The processing unit includes a prediction module that is configured to predict where a pointer that approaches the touch-enabled unit and is monitored by the 3D imaging unit will touch the touch-enabled unit, and a calibration module that is configured to generate at least one calibration parameter by comparing the predicted touch position to the actual touch position of the pointer detected by the touch-enabled unit and to transfer the at least one calibration parameter to the prediction module in order to calibrate the prediction module.

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