Abstract:
Disclosed are a method and an apparatus for predicting human motion in a virtual environment. The apparatus includes a motion tracking module configured to estimate a human pose of a current time step based on at least one piece of sensor data and a pre-learned motion model, and a motion model module configured to predict a set of probable human poses in the next time step based on the motion model, the estimated human pose of the current time step, and virtual environment context information of the next time step. A sense of immersion of the virtual environment may be maximized.
Abstract:
Disclosed herein are a method and apparatus for authenticating a user based on a fingertip gesture. The authentication apparatus may display a pattern generated based on geometric information about a hand geometry or size of a user, and may recognize a fingertip gesture via interaction with the user with respect to the pattern. The authentication apparatus may authenticate a user using the recognized fingertip gesture. The pattern may include a gesture inducement/relation pattern and a fake pattern. Information about the fingertip gesture may include fingertip touch locations of the fingertip gesture, a touch order of the fingertip touch locations, and a moving direction of the fingertip touch locations.
Abstract:
A fitness device-based simulator and a simulation method using the simulator. The fitness device-based simulator includes a feature point extraction unit for acquiring action-sensing information of a user who is located on a fitness device, and extracting feature points for a body skeletal structure of the user based on the action-sensing information, a feature point cluster generation unit for generating multiple feature point clusters by clustering two or more of the feature points, and setting respective cluster symbols for multiple feature point clusters, an exercise pattern information accumulation unit for generating and storing information about a state transition between the multiple feature point clusters of the user, and an exercise state prediction unit for predicting a subsequent exercise state of the user by predicting a feature point cluster subsequent to a feature point cluster currently being generated for the user, based on state transition information.
Abstract:
A system and a method for motion estimation are disclosed. The system for motion estimation in accordance with an embodiment of the present invention includes: a plurality of motion sensors mounted near joints of a body and configured to provide motion information; a depth sensor configured to provide 3-dimensional image information having a 3-dimensional coordinate for each pixel; and a motion estimation device configured to estimate a motion by use of the motion information and the 3-dimensioanl image information, wherein the motion estimation device includes: a converging unit configured to compute mounting position information of the motion sensors by performing an initialization process by converging the motion information and the 3-dimensional image information; and an estimating unit configured to estimate the motion by computing a state vector including the mounting position information and the motion information.