Electronics and Telecommunications Research Institute

Sang Woo Seo

Jong Sung Kim

Myung Gyu Kim

Woo Suk Kim

Sung Jin Hong

Seong Min Baek

Seung Joon Kwon

Yeong Jae Choi

Il Kwon Jeong

Provided is a system for recognizing a user hand gesture and providing virtual reality content based on deep learning using transfer learning. The system includes a head mounted display (HMD) configured to display, to a user, virtual reality content based on a hand gesture, a hand gesture sensor configured to acquire hand data of the user, and a controller device configured to receive the hand data and convert the received hand data into hand gesture data, manage a hand gesture recognizer on the basis of deep learning, and perform content execution management.

System for recognizing user hand gesture and providing virtual reality content based on deep learning using transfer learning

Provided is a system and method for automatically recognizing user motion. The system for automatically recognizing user motion includes an input unit configured to receive three-dimensional (3D) measurement data, a memory which stores a program for performing automatic recognition on 3D user motion using 3D low-quality depth data and a deep learning model, and a processor configured to execute the program, wherein the processor converts the 3D low-quality depth data into 3D high-quality image data.

System and method for automatic recognition of user motion

A system for recognizing collision positions of a plurality of moving objects in a screen includes an infrared camera configured to obtain an image frame when a plurality of moving objects move toward a screen, a memory configured to store a program for calculating a collision position in the screen on the basis of the image frame, and a processor configured to execute the program stored in the memory. By executing the program, the processor detects all of the plurality of moving objects from the image frame to generate a graph where moving objects included in a successive image frame are connected to one another, and calculates a collision position of the moving object included in the image frame and a collision position of the moving object in the screen on the basis of the graph.

System and method of recognizing collision position of screen

Provided are a system and method for simultaneously reconstructing an initial three-dimensional (3D) trajectory and velocity of an object by using single camera images. The system for simultaneously reconstructing an initial 3D trajectory and velocity of an object by using single camera images includes a receiver configured to receive 3D world coordinate information of a starting point of an object and object-captured image information of a single camera, a two-dimensional (2D) coordinate acquisition unit configured to acquire 2D image coordinates of the object from the object-captured image information, and a reconstructor configured to simultaneously reconstruct an initial 3D velocity and trajectory of the object by applying a 3D motion equation to the 2D image coordinates and depth information from the single camera to the object.

System and method for simultaneously reconstructing initial 3D trajectory and velocity of object by using single camera images

Provided is an apparatus and method for automatically recognizing an object by using a low-speed camera in a dual photographing mode, in which the apparatus includes an image acquirer and an image information analyzer. In the present disclosure, without using a separate motion sensor a movement state of a specific object during sports activities may be automatically recognized by using a successive photographing function of a low-speed camera in a dual photographing mode. Further, once an object starts moving, high-speed images in a multiple exposure mode may be automatically captured by using a high-speed photographing function of the low-speed camera in a dual photographing mode without using an expensive high-speed camera, and based on the captured images, movement information, including a movement speed and direction of the sports ball, the force and axis of rotation of the ball, and the like, is automatically analyzed to generate object movement information.

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Daejeon, South Korea

Sang Woo Seo