Abstract: A method for manufacturing a flavor capsule of tobacco according to an embodiment of the present disclosure may comprise: a membrane manufacturing step for manufacturing a membrane of a flavor capsule by a membrane manufacturing part that manufactures a membrane; a capsule manufacturing step for manufacturing the flavor capsule using an apparatus for manufacturing a capsule with the membrane manufactured during the membrane manufacturing step and a flavored liquid to be held in the membrane; and a hardening step for hardening the flavor capsule.

Abstract: Disclosed is an AI acoustic camera including an acoustic source localizing means unit of generating position-specific acoustic level data by determining a position of an acoustic source, an AI acoustic analysis unit of recognizing a type of acoustic source estimated as an abnormal acoustic source by extracting a regeneration time domain acoustic signal for the acoustic source with the determined position and AI-learning and recognizing an acoustic feature image of the extracted time domain acoustic signal, an object recognition unit of recognizing a type of object positioned in the acoustic source through image analysis of an area recognized as that the acoustic source is positioned, and a determination unit of determining the acoustic source as a true acoustic source when the type of acoustic source and the type of object have commonality.

Abstract: According to various embodiments of the disclosure, an electronic device may include an image sensor and a processor. The processor may be configured to detect a movement of an object, using an image generated by the image sensor, to identify a size value of the object, to correct a size value of the object based on a location of the object within the image, and to perform an operation corresponding to a movement of the object, based on the corrected size value.

Abstract: An automatic power supply control device of a battery management system (BMS) includes a converter receiving power of a battery to convert the power to power needed for a load, wherein the power input from the battery is controlled by a manual control signal IGON) generated by a button operation of a user or by a controller (MCU), a manual control signal generator generating the manual control signal (IGON) for controlling the converter, a control signal conversion part configured to, when the manual control signal (IGON) is activated and a predetermined time has elapsed, transmit a signal (NIG) to the controller (MCU) and inactivate the manual control signal (IGON), and the controller (MCU) driven by output power of the converter and configured to activate a signal (MWAKEUP) for controlling the converter and control power supplied to the load when the signal (NIG) is received.

Abstract: The present invention relates to an automatic power supply control device and method of a battery management system (BMS), and the automatic power supply control device of a BMS includes a converter receiving power of a battery to convert the power to power needed for a load, wherein the power input from the battery is controlled by a manual control signal (IGON), which is generated by a button operation of a user, or by a controller (MCU) of a BMS, a manual control signal generator generating the manual control signal (IGON), which is generated by the button operation of the user, for controlling the driving of the converter, a control signal conversion part configured to, when the manual control signal (IGON) is activated and a predetermined time has elapsed, transmit a signal (NIG), which indicates that the manual control signal (IGON) is activated, to the controller (MCU) and to inactivate the manual control signal (IGON), and the controller (MCU) driven by output power of the converter, and configured to

Abstract: According to various embodiments of the disclosure, an electronic device may include an image sensor and a processor. The processor may be configured to detect a movement of an object, using an image generated by the image sensor, to identify a size value of the object, to correct a size value of the object based on a location of the object within the image, and to perform an operation corresponding to a movement of the object, based on the corrected size value.

Abstract: There is provided a display apparatus, which includes a display configured to display a UI including a plurality of items; a sensor configured to generate electromotive force to a closed loop which is included in the display and sense a user's touch based on a change in the electromotive force which is generated in the closed loop; and a processor configured to execute a function which corresponds to an item touched by a user from among the plurality of items based on a size of the change in the electromotive force generated in the closed loop.

Abstract: A method of recognizing motion of an object may include periodically obtaining depth data of a first resolution and two-dimensional data of a second resolution with respect to a scene using an image capturing device, wherein the second resolution is higher than the first resolution; determining a motion tracking region by recognizing a target object in the scene based on the depth data, such that the motion tracking region corresponds to a portion of a frame and the portion includes the target object; periodically obtaining tracking region data of the second resolution corresponding to the motion tracking region; and/or analyzing the motion of the target object based on the tracking region data.

Abstract: There is provided a display apparatus, which includes a display configured to display a UI including a plurality of items; a sensor configured to generate electromotive force to a closed loop which is included in the display and sense a user's touch based on a change in the electromotive force which is generated in the closed loop; and a processor configured to execute a function which corresponds to an item touched by a user from among the plurality of items based on a size of the change in the electromotive force generated in the closed loop.

Abstract: A method of recognizing motion of an object may include periodically obtaining depth data of a first resolution and two-dimensional data of a second resolution with respect to a scene using an image capturing device, wherein the second resolution is higher than the first resolution; determining a motion tracking region by recognizing a target object in the scene based on the depth data, such that the motion tracking region corresponds to a portion of a frame and the portion includes the target object; periodically obtaining tracking region data of the second resolution corresponding to the motion tracking region; and/or analyzing the motion of the target object based on the tracking region data.

Abstract: Methods, systems, and devices for guiding a subject back within the recognizable visual range of a multimedia system are described. According to one of the described methods, when it is determined that the target has left the recognizable range of the multimedia system, sensor information is acquired from a portable electronic device (or controller) the user has been using to control the multimedia system, and the acquired sensor information is used to determine where the user is, relative to the recognizable range. In one example, the user is asked to make a gesture with the portable electronic device, and the sensor information concerning that gesture is used to determine the user's relative location. In another example, the sensor information recorded at the time the user left the recognizable range is used to determine the user's relative location.

Abstract: An apparatus and a method for recognizing a human body in a hybrid manner are provided. The method includes calculating body information used for recognizing a human body from an input image, detecting a region of the human body in a learning-based human body recognition manner by using the calculated body information, and tracing a movement of the detected region of the human body in a modeling-based human body recognition manner. Thereby, it is possible to quickly perform more accurate and precise recognition of the human body.

Abstract: A method of recognizing motion of an object may include periodically obtaining depth data of a first resolution and two-dimensional data of a second resolution with respect to a scene using an image capturing device, wherein the second resolution is higher than the first resolution; determining a motion tracking region by recognizing a target object in the scene based on the depth data, such that the motion tracking region corresponds to a portion of a frame and the portion includes the target object; periodically obtaining tracking region data of the second resolution corresponding to the motion tracking region; and/or analyzing the motion of the target object based on the tracking region data.

Abstract: A method of estimating an orientation of a body is provided. The method includes determining a reference point based on a first region of a body, calculating a translation matrix of a world coordinate system based on the reference point; determining a first vector based on the reference point and a second region of the body, calculating a first rotation matrix rotated by an angle ? about a first rotation vector, which is perpendicular to the first vector and a Z-axis of the world coordinate system, as a first rotation axis, determining a second vector based on the first vector and a third region of the body, calculating a second rotation matrix rotated by an angle ? about the Z-axis of the world coordinate system as a second rotation axis, and calculating a transformation matrix based on the translation matrix, the first rotation matrix, and the second rotation matrix.

Abstract: An apparatus, a method and a non-transitory computer-readable recording medium for detecting a moving object using a depth map is provided. The apparatus includes a segment image generator unit that generates a segment image to distinguish each object using a depth image of a current input frame; a background image generator unit that generates a current background image by applying a moving average method to the depth image and a background image of a previous input frame; and a moving mask generator unit that generates a moving mask by comparing the depth image with the current background image to thereby find moving parts in the depth image.

Abstract: A method of estimating an orientation of a body is provided. The method includes determining a reference point based on a first region of a body, calculating a translation matrix of a world coordinate system based on the reference point; determining a first vector based on the reference point and a second region of the body, calculating a first rotation matrix rotated by an angle a about a first rotation vector, which is perpendicular to the first vector and a Z-axis of the world coordinate system, as a first rotation axis, determining a second vector based on the first vector and a third region of the body, calculating a second rotation matrix rotated by an angle ? about the Z-axis of the world coordinate system as a second rotation axis, and calculating a transformation matrix based on the translation matrix, the first rotation matrix, and the second rotation matrix.

Abstract: An apparatus, a method and a non-transitory computer-readable recording medium for detecting a moving object using a depth map is provided. The apparatus includes a segment image generator unit that generates a segment image to distinguish each object using a depth image of a current input frame; a background image generator unit that generates a current background image by applying a moving average method to the depth image and a background image of a previous input frame; and a moving mask generator unit that generates a moving mask by comparing the depth image with the current background image to thereby find moving parts in the depth image.

Abstract: An apparatus and a method for recognizing a human body in a hybrid manner are provided. The method includes calculating body information used for recognizing a human body from an input image, detecting a region of the human body in a learning-based human body recognition manner by using the calculated body information, and tracing a movement of the detected region of the human body in a modeling-based human body recognition manner. Thereby, it is possible to quickly perform more accurate and precise recognition of the human body.

Abstract: A method of recognizing motion of an object may include periodically obtaining depth data of a first resolution and two-dimensional data of a second resolution with respect to a scene using an image capturing device, wherein the second resolution is higher than the first resolution; determining a motion tracking region by recognizing a target object in the scene based on the depth data, such that the motion tracking region corresponds to a portion of a frame and the portion includes the target object; periodically obtaining tracking region data of the second resolution corresponding to the motion tracking region; and/or analyzing the motion of the target object based on the tracking region data.

Abstract: Methods, systems, and devices for guiding a subject back within the recognizable visual range of a multimedia system are described. According to one of the described methods, when it is determined that the target has left the recognizable range of the multimedia system, sensor information is acquired from a portable electronic device (or controller) the user has been using to control the multimedia system, and the acquired sensor information is used to determine where the user is, relative to the recognizable range. In one example, the user is asked to make a gesture with the portable electronic device, and the sensor information concerning that gesture is used to determine the user's relative location. In another example, the sensor information recorded at the time the user left the recognizable range is used to determine the user's relative location.