Abstract: According to various embodiments, an electronic device performing an operation corresponding to an utterance of a user in a multi-device environment includes a communication module, a processor, and a memory. The processor operates a first electronic device for receiving and a second electronic device for executing in association with each other. The memory stores instructions that, when being executed, cause the processor to: determine whether a first utterance received at the first electronic device should be performed at the second electronic device; when the first utterance should be performed at the second electronic device, form a connection binding with the first electronic device and the second electronic device by using one or more channels through the communication module. When an operation corresponding to the first utterance is completed at the second electronic device, the processor terminates the connection binding with the first electronic device and the second electronic device.

Abstract: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.

Abstract: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.

Abstract: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.

Abstract: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.

Abstract: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.

Abstract: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.

Abstract: A method and apparatus for detecting an error in gesture recognition are provided. The method includes sensing whether an effective gesture occurs in a first area for gesture recognition of a user; setting a second area and sensing an occurrence of an event due to a movement of the user, based on a result of the sensing in the first area; and detecting the error in the gesture recognition based on whether the occurrence of the event is sensed in the second area.

Abstract: A device and method to display a screen based on an event are provided. A device according to an exemplary embodiment may display, in response to an event associated with a movement of an object, a graphic representation that corresponds to the event by overlaying the graphic representation on visual contents.

Abstract: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.

Abstract: Apparatuses and methods for sensing spatial information based on a vision sensor are disclosed. The apparatus and method recognize the spatial information of an object sensed by the vision sensor that senses a temporal change of light. The light being input into the vision sensor is artificially changed using a change unit configured to change the light being input to the vision sensor.

Abstract: A method of extracting a static pattern from an output of an event-based sensor. The method may include receiving an event signal from the event-based sensor in response to dynamic input, and extracting a static pattern associated with the dynamic input based on an identifier and time included in the event signal. The static pattern may be extracted from a map generated based on the identifier and time.

Abstract: A disparity determination method and apparatus are provided. The disparity determination method includes receiving first signals of an event from a first sensor disposed at a first location and second signals of the event from a second sensor disposed at a second location that is different than the first location, and extracting a movement direction of the event, based on at least one among the first signals and the second signals. The disparity determination method further includes determining a disparity between the first sensor and the second sensor, based on the movement direction, a difference between times at which the event is sensed by corresponding pixels in the first sensor, and a difference between times at which the event is sensed by corresponding pixels in the first sensor and the second sensor.

Abstract: A user input processing apparatus using a motion of an object to determine whether to track the motion of the object, and track the motion of the object using an input image including information associated with the motion of the object.

Abstract: A method for a user interface based on a gesture includes setting at least one gesture region including at least one basic region and at least one navigation region based on a preset location or a detected location of at least one object to be tracked, the at least one navigation region including at least one item, detecting a gesture of the at least one object to be tracked using an input device, and recognizing, from the detected gesture, at least one of a select gesture for selecting any one item among the at least one item of the at least one navigation region and a confirm gesture for moving from the at least one navigation region to the at least one basic region.

Abstract: A method and apparatus for detecting an error in gesture recognition are provided. The method includes sensing whether an effective gesture occurs in a first area for gesture recognition of a user; setting a second area and sensing an occurrence of an event due to a movement of the user, based on a result of the sensing in the first area; and detecting the error in the gesture recognition based on whether the occurrence of the event is sensed in the second area.

Abstract: A method of extracting a static pattern from an output of an event-based sensor. The method may include receiving an event signal from the event-based sensor in response to dynamic input, and extracting a static pattern associated with the dynamic input based on an identifier and time included in the event signal. The static pattern may be extracted from a map generated based on the identifier and time.

Abstract: A device and method to display a screen based on an event are provided. A device according to an exemplary embodiment may display, in response to an event associated with a movement of an object, a graphic representation that corresponds to the event by overlaying the graphic representation on visual contents.

Abstract: A disparity determination method and apparatus are provided. The disparity determination method includes receiving first signals of an event from a first sensor disposed at a first location and second signals of the event from a second sensor disposed at a second location that is different than the first location, and extracting a movement direction of the event, based on at least one among the first signals and the second signals. The disparity determination method further includes determining a disparity between the first sensor and the second sensor, based on the movement direction, a difference between times at which the event is sensed by corresponding pixels in the first sensor, and a difference between times at which the event is sensed by corresponding pixels in the first sensor and the second sensor.

Abstract: A method of extracting a static pattern from an output of an event-based sensor. The method may include receiving an event signal from the event-based sensor in response to dynamic input, and extracting a static pattern associated with the dynamic input based on an identifier and time included in the event signal. The static pattern may be extracted from a map generated based on the identifier and time.