Abstract:
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.
Abstract:
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.
Abstract:
A method of providing additional information of content, a mobile terminal and a content control server are provided. A method of providing additional information of content, performed by a mobile terminal, may include acquiring a captured image of a digital signage terminal that is displaying content and transferring the captured image to a content control server, receiving additional information of the content for each of content areas of the mobile terminal, the content areas being mapped by an information providing server based on screen information of the digital signage terminal, and rendering the received additional information.