Abstract: Disclosed are a method, a server and a computer-readable medium for recommending nodes of an interactive content, in which, when receiving recommendation request information for requesting a recommendation node for a specific node included in an interactive content from a user generating the interactive content, a first embedding value for a first set including the specific node is calculated, and a second embedding value for each second set including each of a plurality of nodes of each of one or more other interactive contents included in the service server is calculated, so as to calculate a similarity between the first embedding value and the second embedding value and provide the user with a next node, as a recommendation node, of a node corresponding to the second embedding value determined based on the similarity.

Abstract: The present invention relates to a method, a server and a computer-readable medium for generating an interactive content, and more particularly, to a method, a server and a computer-readable medium for generating an interactive content, in which node generation information for each of a plurality of nodes included in the interactive content is received from a user terminal of a user who wants to generate the interactive content, and a plurality of nodes including an interactive video in which a specific interactive object utters text information included in the received node generation information, and node connection information for connection with one or more other nodes corresponding to a next node according to condition information included in the node generation information are generated, so that the interactive content including the nodes is generated.

Abstract: A multi-modal emotion recognition system is disclosed. The system includes a data input unit for receiving video data and voice data of a user, a data pre-processing unit including a voice pre-processing unit for generating voice feature data from the voice data and a video pre-processing unit for generating one or more face feature data from the video data, a preliminary inference unit for generating situation determination data as to whether or not the user's situation changes according to a temporal sequence based on the video data. The system further comprises a main inference unit for generating at least one sub feature map based on the voice feature data or the face feature data, and inferring the user's emotion state based on the sub feature map and the situation determination data.

Abstract: A multi-modal emotion recognition system is disclosed. The system includes a data input unit for receiving video data and voice data of a user, a data pre-processing unit including a voice pre-processing unit for generating voice feature data from the voice data and a video pre-processing unit for generating one or more face feature data from the video data, a preliminary inference unit for generating situation determination data as to whether or not the user's situation changes according to a temporal sequence based on the video data. The system further comprises a main inference unit for generating at least one sub feature map based on the voice feature data or the face feature data, and inferring the user's emotion state based on the sub feature map and the situation determination data.

Abstract: A dry test strip for the detection of an analyte in a test fluid is disclosed. The test strip comprises a porous detection zone containing a reactant system that can generate a signal in the presence of an analyte. The detection zone further comprises dextran as a barrier to prevent penetration of RBC's into the detection zone.

Abstract: A diagnostic test strip for chemically determining whole blood analytes comprises a support, a porous detection zone membrane affixed to the support, and an overlay membrane affixed to the support and in overlying and continuous contact with the detection zone membrane. The overlay membrane has a crenating agent for the exclusion of whole red blood cells from the pores of the detection zone membrane.