Abstract:
A motion recognizing apparatus and method are provided. According to an aspect, a motion recognizing apparatus may include: an optical sensor configured to sense at least a portion of a subject where a motion occurs and to output one or more events in response thereto; a motion tracing unit configured to trace a motion locus of the portion where the motion occurs based on the one or more outputted events; and a motion pattern determining unit configured to determine a motion pattern of the portion where the motion occurs based on the traced motion locus.
Abstract:
An image adjustment apparatus includes a receiver which is configured to receive a first input image of an object which is time-synchronously captured and a second input image in which a motion event of the object is sensed time-asynchronously, and an adjuster which is configured to adjust the first input image and the second input image.
Abstract:
A processor-implemented method with data exploration includes: setting first input data and a first target condition; predicting first output data corresponding to the first input data using a first function that models an objective function; and determining second input data using a second function that provides a result of comparison between the first output data and the first target condition.
Abstract:
A user interface apparatus and a method of improving user interface are provided. The user interface apparatus may detect a change in an incident light and may control a display to represent the detected change in the light to be overlaid on image content. Provided is a user interface apparatus including: a display configured to display image content; a detector configured to detect a change in an incident light; and a controller configured to control the display to overlay the detected change in the light on the image content
Abstract:
An operation method of a neural network, a training method, and a signal processing apparatus are provided. The operation method includes receiving an output signal from a first neural network, and converting a first feature included in the output signal to a second feature configured to be input to a second neural network, based on a conversion rule controlling conversion between a feature to be output from the first neural network and a feature to be input to the second neural network. The operation method further includes generating an input signal to be input to the second neural network, based on the second feature, and transmitting the input signal to the second neural network.
Abstract:
An event information processing apparatus and method are provided that may process an asynchronous event. The event information processing apparatus may include a grouper which groups at least one item of event information generated at an identical time, a time information identifier which identifies basic time information associated with the grouped event information, and an information transmitter which arranges and thereby transmits the grouped event information and basic time information.
Abstract:
A method for operating an artificial neuron and an apparatus for performing the method are provided. The artificial neuron may calculate a change amount of an activation based on an input signal received via an input synapse, determine whether an event occurs in response to the calculated change amount of the activation, and transmit, to an output synapse, an output signal that corresponds to the event in response to an occurrence of the event.
Abstract:
Disclosed is an image adjustment apparatus including a receiver which is configured to receive a first input image of an object which is time-synchronously captured and a second input image in which a motion event of the object is sensed time-asynchronously, and an adjuster which is configured to adjust the first input image and the second input image.