Abstract: The object sensing device can include a plurality of first division blocks divided along a first direction, and a sensing driving device that drives the plurality of first division blocks. The sensing driving device can provide a first driving signal to two or more first division blocks among the plurality of first division blocks and provide a second driving signal to the remaining first division blocks. The first driving signal and the second driving signal can be different.

Abstract: In one example, an electronic device comprises a first and second substrates comprising first and second dielectric structures and first and second conductive structures, a first electronic component over the first substrate, the second substrate being over the first substrate and the first electronic component, a first interconnect structure between the first substrate and the second substrate and coupled with the first conductive structure and the second conductive structure, a first encapsulant between the first substrate and the second substrate and covering a lateral side of the first interconnect structure and a lateral side of the first electronic component, a second interconnect structure over the second substrate and coupled with the second conductive structure, a second encapsulant over the second substrate and covering a lateral side of the second interconnect structure, and a photonic integrated circuit over the second encapsulant and coupled with the second interconnect structure.

Abstract: The present invention relates to a method and apparatus for re-registering pre-registered identity information in a new identity recognition system. A method of re-registering identity feature information in an identity recognition system according to an embodiment of the present disclosure may include: identifying one or more first identity feature information calculated by the first feature calculation device and stored in a database; generating one or more latent space information by inputting the one or more first identity feature information into a specific model for latent space estimation; generating one or more second identity feature information by inputting the one or more latent space information into a second feature calculation device; and storing the one or more second identity feature information in a new database.

Abstract: Provided are a device and method for tagging training data. The method includes detecting and tracking one or more objects included in a video using artificial intelligence (AI), when there is an object to be split in a result of tracking the detected objects, splitting the object in object units, and when there are identical objects to be merged among split objects, merging the objects.

Abstract: Provided are a device and method for tagging training data. The method includes detecting and tracking one or more objects included in a video using artificial intelligence (AI), when there is an object to be split in a result of tracking the detected objects, splitting the object in object units, and when there are identical objects to be merged among split objects, merging the objects.

Abstract: Disclosed herein is an apparatus and method for detecting an emotional change through facial expression analysis. The apparatus for detecting an emotional change through facial expression analysis includes a memory having at least one program recorded thereon, and a processor configured to execute the program, wherein the program includes a camera image acquisition unit configured to acquire a moving image including at least one person, a preprocessing unit configured to extract a face image of a user from the moving image and preprocess the extracted face image, a facial expression analysis unit configured to extract a facial expression vector from the face image of the user and cumulatively store the facial expression vector, and an emotional change analysis unit configured to detect a temporal location of a sudden emotional change by analyzing an emotion signal extracted based on cumulatively stored facial expression vector values.

Abstract: Disclosed herein are an apparatus for recognizing a user command using non-contact gaze-based head motion information and a method using the same. The method includes monitoring the gaze and the head motion of a user based on a sensor, displaying a user interface at a location corresponding to the gaze based on gaze-based head motion information acquired by combining the gaze and the head motion, and recognizing a user command selected from the user interface.

Abstract: Disclosed herein is a method for supporting an attention test based on an attention map and an attention movement map. The method includes generating a score distribution for each segment area of frames satisfying preset conditions, among frames of video content (video) that is produced in advance so as to be suitable for the purpose of a test, generating an attention map corresponding to the frames based on the distribution of the gaze point of a subject, generating an attention movement map corresponding to the frames based on information about movement of the gaze point of the subject, and calculating the attention of the subject using the score distribution for each segment area, the attention map, and the attention movement map.

Abstract: Disclosed herein are an apparatus and method for registering face poses for face recognition. The apparatus includes a face detection unit for detecting the face of a user from an image including the face of the user; a pose recognition unit for recognizing the face pose of the face of the user based on the degree of rotation of the face of the user; a registration interface unit for providing an interface for showing information about whether the face poses of the face of the user are registered; and a face registration unit for registering the face pose of the face of the user when the face pose of the face of the user is recognized as an unregistered face pose based on the interface.

Abstract: Disclosed herein are an apparatus and method for registering face poses for face recognition. The apparatus includes a face detection unit for detecting the face of a user from an image including the face of the user; a pose recognition unit for recognizing the face pose of the face of the user based on the degree of rotation of the face of the user; a registration interface unit for providing an interface for showing information about whether the face poses of the face of the user are registered; and a face registration unit for registering the face pose of the face of the user when the face pose of the face of the user is recognized as an unregistered face pose based on the interface.