Abstract: An event-based sensor includes: a pixel array having a plurality of pixels, and configured to output an activation signal in response to sensing an input to the pixel array; and a controller configured to output a control signal for supplying power selectively to the pixels based on the activation signal or a user input so that a portion of the pixels is powered on while another portion of the pixels is powered off.

Abstract: Embodiments of the present invention provide a method and device for processing Dynamic Vision Sensor (DVS) events. The method comprises the operations of: acquiring a DVS event map sequence; for any DVS event map in the DVS event map sequence, extracting a DVS event feature descriptor, where the DVS event feature descriptor has a scale-invariant feature and/or a rotation-invariant feature; determining, according to the extracted DVS event feature descriptor, a three-dimensional space pose of the DVS event map at the current moment; and, generating, according to the three-dimensional space pose of each DVS event map, a DVS event map sequence with temporal consistency. The embodiments of the present invention are used for generating, from a DVS event map sequence, a DVS event map sequence with temporal consistency.

Abstract: An apparatus and a method. The apparatus includes an image representation unit configured to receive a sequence of frames generated from events sensed by a dynamic vision sensor (DVS) and generate a confidence map from non-noise events; and an image denoising unit connected to the image representation unit and configured to denoise an image in a spatio-temporal domain. The method includes receiving, by an image representation unit, a sequence of frames generated from events sensed by a DVS, and generating a confidence map from non-noise events; and denoising, by an image denoising unit connected to the image representation unit, images formed from the frames in a spatio-temporal domain.

Abstract: An event filtering device and a motion recognition device using thereof are provided. The motion recognition device includes an emitter configured to emit an infrared ray in a pattern; a detector configured to detect events in a visible ray area and an infrared ray area; a filter configured to determine whether at least one portion of the detected events is detected using the infrared ray in the pattern, and filter the detected events based on a result of the determination; and a motion recognizer configured to perform motion recognition based on a detected event accepted by the filter.

Abstract: A proximity sensor and a proximity sensing method using an event-based vision sensor are provided. The proximity sensor may include a point identification (ID) unit which identifies a point at which an output light output from a focused light source is reflected from an object in an image taken by the proximity sensor; and a distance determination unit which determines a distance between the object and the proximity sensor based on a position of the point.

Abstract: A method and apparatus for processing a user input are provided. The method includes: determining a type of the user input based on a change amount of an input image; and processing the user input based on the determined type.

Abstract: A synapse circuit to perform spike timing dependent plasticity (STDP) operation is provided. The synapse circuit includes a memristor having a resistance value, a transistor connected to the memristor, and the transistor configured to receive at least two input signals. The resistance value of the memristor is changed based on a time difference between the at least two input signals received by the transistor.

Abstract: An apparatus and a method. The apparatus includes an image representation unit configured to receive a sequence of frames generated from events sensed by a dynamic vision sensor (DVS) and generate a confidence map from non-noise events; and an image denoising unit connected to the image representation unit and configured to denoise an image in a spatio-temporal domain. The method includes receiving, by an image representation unit, a sequence of frames generated from events sensed by a DVS, and generating a confidence map from non-noise events; and denoising, by an image denoising unit connected to the image representation unit, images formed from the frames in a spatio-temporal domain.

Abstract: An apparatus and a method. The apparatus includes a dynamic vision sensor (DVS) configured to generate a stream of events, where an event includes a location and a binary value indicating a positive or a negative change in luminance; a sampling unit connected to the DVS and configured to sample the stream of events; and an image formation unit connected to the sampling unit and configured to form an image for each sample of the stream of events, wherein a manner of sampling by the sampling unit is adjusted to reduce variations between images formed by the image formation unit.

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: An apparatus and a method for providing a user interface are provided. The apparatus for providing a user interface provides a first user interface mode, and can switch to a second user interface mode if it receives a user command instructing it to switch its mode to the second user interface mode which has a different user command input method from the first user interface mode. In the switching process, the apparatus for providing a user interface can re-set a recognition pattern so as to classify less user input types than are classified in the first user interface mode.

Abstract: An apparatus and a method for processing an input are provided. The apparatus includes a shape identifier configured to identify a first shape corresponding to a user input among shapes, a pattern identifier configured to identify a first pattern corresponding to the user input among patterns, and a determiner configured to determine a first command corresponding to the first shape and the first pattern.

Abstract: A device and method for recognizing a gesture according to movement directions of an object.

Abstract: A method and apparatus for shooting and displaying a three-dimensional (3D) image are provided. Light intensities and light wavelengths of light entering a single point from various directions may be measured and the process is repeated to photographing a 3D image. Light may be emitted, from each point, to corresponding directions based on the measured light intensity and the measured light wavelength measured for each direction and thus, may display a natural 3D image.

Abstract: A mobile device configured for data transmission to a corresponding mobile device is provided. The mobile device may include a gesture input unit configured to receive a gesture, a gesture determination unit configured to determine whether the gesture corresponds to a preset gesture associated with a command to perform data transmission to the corresponding mobile device, and a data communication unit configured to transmit a data transmission request to the corresponding mobile device based on a result of the determination, configured to receive, from the corresponding mobile device, an acceptance signal indicating an input of an acceptance gesture at the corresponding mobile device, and configured to transmit data to the corresponding mobile device in response to receiving the acceptance signal.

Abstract: A synapse array based on a static random access memory (SRAM), a pulse shaper circuit, and a neuromorphic system are provided. The synapse array includes a plurality of synapse circuits. At least one synapse circuit among the plurality of synapse circuits includes at least one bias transistor and at least two cut-off transistors, and the at least one synapse circuit is configured to charge a membrane node of a neuron circuit connected with the at least one synapse circuit using a sub-threshold leakage current that passed through the at least one bias transistor.

Abstract: An apparatus and method for recognizing motion by using an event-based vision sensor is provided. An apparatus for recognizing motion using an event-based vision sensor includes: a vision sensor to sense a movement-occurring part and output events; a movement type determiner configured to determine a type of movement using a frequency of occurrence of the events outputted through the vision sensor; a first motion determiner configured to track a movement trajectory of the movement-occurring part and determine a motion pattern based on the movement trajectory in response to a result of the movement type determination unit indicating a small movement; a second motion determiner configured to determine a direction of movement direction in which an object moves based on the events in response to a result of the movement type determination indicating a large movement; and a motion controller configured to output a control instruction to control a device.

Abstract: Provided is a neuromorphic signal processing device for locating a sound source using a plurality of neuron circuits, the neuromorphic signal processing device including a detector configured to output a detected spiking signal using a detection neuron circuit corresponding to a predetermined time difference, in response to a first signal and a second signal containing an identical input spiking signal with respect to the predetermined time difference, for each of a plurality of predetermined frequency bands, a multiplexor configured to output a multiplexed spiking signal corresponding to the predetermined time difference based on a plurality of the detected spiking signals output from a plurality of neuron circuits corresponding to the plurality of frequency bands, and an integrator configured to output an integrated spiking signal corresponding to the predetermined time difference, based on a plurality of the multiplexed spiking signals corresponding to a plurality of predetermined time differences.

Abstract: A proximity sensor and proximity sensing method using a change in light quantity of a reflected light are disclosed. The proximity sensor may include a quantity change detection unit which detects a change in a quantity of reflected light which is output light which has been reflected by an object, where an intensity of the output light changes, and a proximity determination unit which determines a proximity of the object to the quantity change detection unit based on a change in the intensity of the output light and the detected change in the quantity of the reflected light.