Abstract:
An interfacing device for providing a user interface (UI) exploiting a multi-modality may recognize at least two modality inputs for controlling a scene, and generate scene control information based on the at least two modality inputs.
Abstract:
A holographic object processing apparatus and method are provided. The holographic object processing apparatus may include a display device to output a holographic object, a database (DB) to store change information of the holographic object according to a distance between a control object and the holographic object, a distance measurement sensor to measure the distance between the control object and the holographic object, and a processing unit to extract change information corresponding to the measured distance from the DB and change the holographic object based on the extracted change information. The display device may output the changed holographic object.
Abstract:
An apparatus and method for measuring bending of an object, a position of an item touching the object, and a shearing force of the item using an optical waveguide may include a frequency measurer to measure a frequency of light reflected from a grating of an optical waveguide, and a bending measurer to determine bending of an object to which the optical waveguide is attached using the frequency.
Abstract:
A three-dimensional (3D) tactile feedback apparatus and method for implementing the same may include a tactile feedback providing unit which provides a 3D tactile feedback, in response to a motion input by a user, a position measuring unit which measures a position of the tactile feedback providing unit, and a movement controlling unit which controls a movement of the tactile feedback providing unit based on the position of the tactile feedback providing unit.
Abstract:
A tactile sensation providing apparatus includes a tactile output unit configured to contact a part of a human body; a connection unit including a wire connected to the tactile output unit and made of a flexible and elastic material, and a tube enclosing the wire; and a driving unit to supply a driving force to the connection unit.
Abstract:
An interface controlling apparatus and method may generate content control information by analyzing force input information received from at least one force sensor, and may control content based on the content control information.
Abstract:
A content recommendation method and device for recommending content to a user are disclosed. According to one embodiment, the content recommendation device extracts the features of a user from image data, audio data and the like, and can determine a recognition rate indicating the degree that is recognized as a user model predetermined according to the features of the user. The content recommendation device can determine the recommended content to be provided to the user on the basis of the determined recognition rate.
Abstract:
A variable stiffness film, a variable stiffness flexible display, and a manufacturing method thereof may include a lower electrode, a variable fluid, and an upper electrode. A polymer layer may be formed on the lower electrode, and a variable fluid receiving portion is patterned on the polymer layer. A variable stiffness layer is formed by putting a variable fluid in the variable fluid receiving portion. The upper electrode is formed on the variable fluid layer.
Abstract:
A user input apparatus and method may measure, using a first sensor, surface input information that is applied to a surface of a user input apparatus, may measure, using a second sensor, orientation information that is input based on a physical quantity associated with a pose or a rotary motion of the user input apparatus, and may generate a content control signal, by combining the surface input information and the orientation information.
Abstract:
A method of learning a parameter to estimate a posture of an articulated object, and a method of estimating the posture of the articulated object are provided. A parameter used to estimate a posture of an articulated object may be iteratively learned based on a depth feature corresponding to an iteration count, and the posture of the articulated object may be estimated based on the learned parameter.