Abstract:
A biometric authentication apparatus and method are provided. The biometric authentication apparatus may obtain at least two types of biosignals, extract a same type of physiological features from each of the biosignals, and determine whether the biosignals are generated from a same living body based on the extracted same type of physiological features.
Abstract:
A method and apparatus for processing a biosignal is disclosed. The apparatus may extract reference points from a waveform of a biosignal, determine a pulse direction of the biosignal based on the extracted reference points, and determine a feature point of the biosignal based on a feature point determining method corresponding to the determined pulse direction of the biosignal.
Abstract:
A method of processing a biosignal includes estimating a time period from a time-domain biosignal, converting a biosignal corresponding to a time interval based on the time period to a frequency-domain signal, performing signal processing to remove a distortion component from the frequency-domain signal, and converting a processed frequency-domain signal obtained through the signal processing to a time-domain signal.
Abstract:
Disclosed are an electrocardiogram (ECG) authentication method and apparatus, and a training method and apparatus for training a neural network model used for ECG authentication, the ECG authentication apparatus being configured to acquire an ECG signal of a subject, extract a semantic feature of the ECG signal, and authenticate the subject based on the extracted semantic feature.
Abstract:
A signal feature extracting method and apparatus is disclosed. The signal feature extracting apparatus estimates element signals forming an input signal using a signal model to be determined by parameters, and extracts signal features using the estimated element signals. The method of extracting a signal feature including estimating element signals from an input signal, and extracting a signal feature using the estimated element signals, wherein the estimating of the element signals comprises estimating a first element signal of the input signal, and estimating a second element signal based on a waveform of a first intermediate signal, the first intermediate signal being a signal derived from the first element signal eliminated from the input signal.
Abstract:
A method and apparatus for processing a biosignal is disclosed. The apparatus may extract reference points from a waveform of a biosignal, determine a pulse direction of the biosignal based on the extracted reference points, and determine a feature point of the biosignal based on a feature point determining method corresponding to the determined pulse direction of the biosignal.
Abstract:
Provided is a method and apparatus for extracting a feature of a biosignal, the method including determining an acceleration waveform from a waveform of the biosignal, extracting an incident acceleration waveform from the acceleration waveform, and extracting a feature of the biosignal based on a cross-correlation between the acceleration waveform and the incident acceleration waveform.
Abstract:
Provided is a system, apparatus, and method that includes selectively providing and/or receiving advertisement information from an advertiser based on a coarse synchronization, that provides the advertisement information within expected preset time durations based on a received synchronization signal.
Abstract:
A user interface method and apparatus are provided. A user interface method of a smart device includes receiving an electrical signal from an electromyography (EMG) sensor worn on a user, determining a user input based on the received electrical signal and position information about a determined position of a detected touch of the user on a touch screen, and controlling operation of the smart device in response to the determined user input.
Abstract:
Provided are electrocardiogram (ECG)-based authentication and training. An authentication method includes generating a feature vector of an ECG obtained from an entity or a person based on a dictionary, classifying the ECG through a classifier based on the feature vector, and performing authentication based on a classification result.