Abstract:
The present invention relates to a method and apparatus for providing an emotion-adaptive user interface (UI) on the basis of an affective computing service, in which the provided service is configured with at least one of a service operation condition, a service end condition, and an emotion-adaptive UI service type on the basis of purpose information of the service, and the detailed pattern is changed and provided on the basis of the purpose information and the usefulness information of the service.
Abstract:
Disclosed is technology for providing a proper UI/UX through various devices or services when occurrence of registered concerned context is predicted or recognized in order to predict or recognize the circumstances that require attention or emotion control with regard to a change in his/her biological information With this, a user designates his/her own biological information range or emotional state with regard to circumstances which catch his/her attention, and registers concerned context by selectively designating attributes of circumstantial elements. Further, a user registers feedback desired to be given and an external device/service desired to interface with when the occurrence of the concerned context is predicted or recognized. According to the attributes of the circumstances designated in the registered concerned context, points in time for collecting and managing UX data are automatically determined, thereby processing and managing the UX data as useful information.
Abstract:
Technology for a method of detecting a user hand by a user hand detecting device. The method according to an aspect of the present invention includes extracting a first mask image from a depth image in which the user hand is imaged; extracting a second mask image having a preset skin color value among regions corresponding to the first mask image in a color image in which the user hand is imaged; generating a skin color value histogram model in a color space different from a region of the color image corresponding to a color region of the second mask image; generating a skin color probability image of the different color space from the color image using the skin color value histogram model and an algorithm for detecting a skin color region; and combining the skin color probability image with the second mask image and detecting the user's hand region.