Abstract:
A biometric authentication apparatus is provided. The biometric authentication apparatus includes one or more converters that convert a transmit signal of an electrical signal into a vibration signal of a mechanical signal and transmit the vibration signal vibrating within a set frequency range to a user, one or more sensor that receive a biometric signal corresponding to the vibration signal from the user and convert the biometric signal into a receive signal of an electrical signal, an authentication module that extracts anatomical feature information of the user from the receive signal and determines whether the user is a registered user based on the anatomical feature information, and a memory that stores a database for the registered user. The biometric signal is a frequency-based signal modified to include the anatomical feature information while the vibration signal passes through at least a portion of the body of the user.
Abstract:
Provided is a personal authentication device based on an auditory brainstem response signal. The personal authentication device includes a signal generator, a signal acquirer, and a signal processor. The signal generator may output an auditory stimulus to an ear of a user, using a sound generator. The signal acquirer may acquire a first reference potential corresponding to a first interval, from a first electrode in close contact with the other ear of the user, and acquire a first evoked potential corresponding to the first interval from a second electrode in close contact with the ear, based on the first reference potential. The signal processor may generate a first auditory brainstem response signal, based on the first reference potential and the first evoked potential, generate authentication data for the user from the first auditory brainstem response signal, and compare the authentication data with registration data to authenticate the user.
Abstract:
Disclosed is an electronic device. The electronic device includes an impedance measuring unit including electrodes, that applies a first measurement signal of a first frequency to a user, obtains first biometric impedance data, based on first electrodes among the electrodes, and obtains second biometric impedance data, based on second electrodes among the electrodes, and a signal processor that extracts first feature data of the user, based on the first biometric impedance data and the second biometric impedance data. The first feature data may be based on a ratio between a value of the first biometric impedance data and a value of the second biometric impedance data.
Abstract:
Provided is fluid control equipment for bio-reaction, including a pipette configured to transport a reaction solution, and a liquid pump configured to adjust the internal pressure of the pipette.
Abstract:
Provided is an optical imaging system capable of increasing diagnosis reliability and preciseness, and efficiently observing a target. The optical imaging system using multiple light sources according to an embodiment of the present invention includes a first light source generating a first light modulated with a first frequency, a second light source generating a second light modulated with a second frequency, a camera simultaneously detecting multiple lights output from an object after the first and second lights are illuminated on the object and outputting multiple image detecting signals, and an image processing unit processing the multiple image detecting signals to obtain a first image representing a shape of the object and a second image representing a desired target portion of the object.
Abstract:
Provided is a control apparatus which may apply an electric signal to a specific point or area selected from a plane or may receive the signal from the specific point or area. The control apparatus includes an upper electrode and a lower electrode. When it is intended that an electric field is applied to a point in which the upper electrode and the lower electrode come in contact with each other, an electrical bias is applied to the lower electrode, and the upper electrode is maintained in a non-connected state. When it is intended that the bias is selectively applied, the upper electrode is maintained in a grounded state. Therefore, transferring of the field from the lower electrode to a ground electrode disposed at a bottom is shielded, and thus transferring of the electric signal is also blocked.
Abstract:
The present disclosure relates to a microfluidic control system and a microfluidic control method using the same. The microfluidic control system includes: a microfluidic chip including a storage chamber for storing a reaction solution and a receiving chamber communicating with the storage chamber; and a microfluidic control device for controlling the reaction solution inside the microfluidic chip, wherein the microfluidic control device includes: a first roller which is in contact with the microfluidic chip and rotates together with the movement of the microfluidic chip; and a pressurizing protrusion formed on the outer peripheral surface of the first roller, wherein the pressurizing protrusion has a shape corresponding to the storage chamber.
Abstract:
The present invention relates to an eye-gaze based control device. The eye-gaze based control device of the present invention may control a control target device according to an eye-gaze point of a user. Here, the eye-gaze based control device controls the control target device by controlling a size of an image displayed to the user, thereby more precisely controlling the control target device.
Abstract:
Disclosed are a gas detection intelligence training system and an operating method thereof. The gas detection intelligence training system includes a mixing gas measuring device that collects an environmental gas from a surrounding environment, generates a mixing gas based on the collected environmental gas and a target gas, senses the mixing gas by using a first sensor array and a second sensor array under a first sensing condition and a second sensing condition, respectively, and generates measurement data based on the sensed results of the first sensor array and the second sensor array, and a detection intelligence training device including a processor that generates an ensemble prediction model based on the measurement data.