Abstract:
An authentication apparatus includes one or more processors configured to temporally implement a neural network, used to extract a feature value from hidden nodes, that is connected to input nodes to which an electrocardiogram (ECG) signal is input so as to share a weight set with the input nodes, and to match the ECG signal and the extracted feature value to a user for registration.
Abstract:
A gesture classification apparatus and method is disclosed. The apparatus may include a feature extractor configured to extract a plurality of features using a electromyogram (EMG) data group obtained from an EMG signal sensor including a plurality of channels, an artificial neural network including an input layer to which the EMG data group corresponding to the plurality of features is input and an output layer configured to output a preset gesture corresponding to the plurality of features, and a gesture recognizer configured to recognize a gesture performed by a user and corresponding to the extracted features.
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.
Abstract:
An authentication apparatus includes a biometric data acquirer configured to acquire fingerprint data and an electrocardiogram (ECG) waveform of a user, and a humidity level acquirer configured to acquire a humidity level of skin of the user. The apparatus further includes a similarity extractor configured to adjust a first similarity between the fingerprint data and reference fingerprint data of a pre-registered user, and a second similarity between the ECG waveform and a reference ECG waveform of the pre-registered user, based on the humidity level, and extract a combined similarity based on the adjusted first similarity and the adjusted second similarity. The apparatus further includes an authenticator configured to authenticate whether the user is the pre-registered user based on the combined similarity.
Abstract:
A computing device is provided. The computing device includes an electrode layer comprising a plurality of microelectrode arrays (MEAs), each MEA being configured with electrodes for stimulation and sensing of biological cells; an interposer layer comprising an interposer for a wiring connection between the plurality of MEAs and a substrate of the computing device; a circuit layer comprising a plurality of circuit chips configured to stimulate the cells and store excitement of the cells in response to the stimulation by corresponding electrodes; and a controller configured to control whether or how to connect the plurality of circuit chips to the plurality of MEAs.
Abstract:
A method and device for measuring living cells are provided. A device includes a culture vessel in which a living cell is cultured; and a multi-electrode array (MEA) including first electrodes arranged with a pattern and configured to conductively receive an electrical signal generated by the living cell and conductively transmit an electrical signal to the living cell through the first electrodes, wherein the culture vessel is mateable with the MEA, and configured to, when mated with the MEA, conductively transmit an electrical signal generated by the living cell to the first electrodes or conductively transmit an electrical signal to the living cell via the first electrodes through a surface mated with the MEA.
Abstract:
A measuring apparatus implementing an electrode array and an operating method of the measuring apparatus are provided. The measuring apparatus may include an electrode array configured to measure input signals of an analog domain through electrodes arranged in a target point, main signal processors configured to perform signal processing operations including a digital conversion operation of corresponding input signals of the input signals, respectively, and auxiliary signal processors configured to replace at least one of the main signal processors, and perform at least some of the signal processing operations including the digital conversion operation in response to a replacement condition being satisfied.
Abstract:
A current stimulator includes a first current generation circuit configured to generate a first current, injectable into a cranial nerve cell, through a current mirroring based on a plurality of transistor pairs; and a second current generation circuit, driven by a clock, configured to generate a second current smaller than the first current by controlling a charge rate based on a voltage difference between terminals of a capacitor. A first output impedance of the first current generation circuit and a second output impedance of the second current generation circuit have a magnitude greater than or equal to a predetermined ratio to a load impedance corresponding to the cranial nerve cell.
Abstract:
A method of controlling power on a low-power device and the low-power device for performing the method are provided. The method includes performing a first operation, of acquiring sensing data, using power stored in an internal battery of the low-power device, wherein the first operation consumes a first power consumption from the internal battery; and performing a second operation, with respect to the acquired sensing data, and which consumes a second power consumption, using power wirelessly transmitted from an external device located outside of the low-power device, wherein the second power consumption is greater than the first power consumption.