Abstract: Provided is an apparatus for estimating bio-information. The apparatus for estimating bio-information according to an embodiment includes a processor configured to obtain a pulse wave signal from a user; extract components of a plurality of element waveforms which constitute a waveform of the pulse wave signal; and obtain a cardiovascular feature based on the extracted components of the plurality of element waveforms. The processor is configured to extract a component of at least one element waveform based on a component of an adjacent element waveform.

Abstract: Provided is an apparatus for non-invasively estimating bio-information by analyzing a pulse waveform. The apparatus for estimating bio-information according to an aspect of the present disclosure includes a processor configured to obtain a first characteristic point from a first pulse wave signal measured by a pulse wave sensor at a calibration time, obtain a second characteristic point from a second pulse wave signal measured by the pulse wave sensor at a bio-information estimation time, based on time information of the obtained first characteristic point, and estimate the bio-information of an object based on the obtained second characteristic point.

Abstract: An apparatus for calibrating a bio-information estimation model is provided. The apparatus may include a sensor configured to detect a bio-signal from an object of interest, and a processor configured to extract a first feature at each of a plurality of points of the bio-signal, extract a second feature at each of the plurality of points of the bio-signal, and determine a calibration point of the bio-information estimation model, from among the plurality of points of the bio-signal, based on a first degree of change in the first feature at each point relative to a first feature at a reference point and a second degree of change in the second feature at each point relative to a second feature at the reference point.

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 bio-signal processing apparatus, a biometric information detection apparatus, and a method of detecting biometric information are provided. The bio-signal processing apparatus includes a first low pass filter (LPF) configured to have a first cutoff frequency, and output a first preprocessed signal having low frequency components of an input bio-signal that are less than the first cutoff frequency, a second LPF configured to have a second cutoff frequency, and output a second preprocessed signal in which high frequency components greater than or equal to the second cutoff frequency are removed from the input bio-signal, and a processor configured to output an output bio-signal for biometric information detection, based on the output first preprocessed signal and the output second preprocessed signal.

Abstract: A bio-signal processing apparatus, a biometric information detection apparatus, and a method of detecting biometric information are provided. The bio-signal processing apparatus includes a first low pass filter (LPF) configured to have a first cutoff frequency, and output a first preprocessed signal having low frequency components of an input bio-signal that are less than the first cutoff frequency, a second LPF configured to have a second cutoff frequency, and output a second preprocessed signal in which high frequency components greater than or equal to the second cutoff frequency are removed from the input bio-signal, and a processor configured to output an output bio-signal for biometric information detection, based on the output first preprocessed signal and the output second preprocessed signal.

Abstract: A signal processing method, a signal filtering apparatus, and a signal processing apparatus are provided. An input signal may be input into a filter having a passband, a superfluous signal of the passband may be output from the filter, and a target signal may be obtained by subtracting the superfluous signal from the input signal.

Abstract: Provided is a communication method of a target terminal and an access point (AP) for a group identification (ID) management in a multi-user multiple-input multiple-output (MU-MIMO) transmission capable of managing a group ID of members of a group without influencing other terminals in the group by transmitting membership information and position information to each of a plurality of terminals.

Abstract: An apparatus for estimating bio-information includes a sensor configured to measure a bio-signal from an object, and a processor configured to obtain a feature based on the measured bio-signal, obtain a bio-information variation based on the obtained feature, obtain an adjustment coefficient based on the obtained bio-information variation, and estimate the bio-information by applying the obtained adjustment coefficient to the obtained bio-information variation.

Abstract: A biosignal processing apparatus includes a communication interface configured to receive a biosignal, and a processor configured to set a target interval of the biosignal, calculate a quality metric corresponding to the target interval based on a target component that is a frequency component of the target interval corresponding to a set value and a non-target component that is a frequency component of the target interval not corresponding to the set value, and estimate a quality of the biosignal based on the quality metric.

Abstract: A bio-signal processing apparatus, a biometric information detection apparatus, and a method of detecting biometric information are provided. The bio-signal processing apparatus includes a first low pass filter (LPF) configured to have a first cutoff frequency, and output a first preprocessed signal having low frequency components of an input bio-signal that are less than the first cutoff frequency, a second LPF configured to have a second cutoff frequency, and output a second preprocessed signal in which high frequency components greater than or equal to the second cutoff frequency are removed from the input bio-signal, and a processor configured to output an output bio-signal for biometric information detection, based on the output first preprocessed signal and the output second preprocessed signal.

Abstract: A biosignal measuring method and apparatus are provided. The biosignal measuring method includes verifying whether a measured biosignal is in a range, and controlling an operation of the biosignal measuring apparatus when the measured biosignal deviates from the range based on a result of the verifying.

Abstract: A feature extraction apparatus configured to perform biometric information detection includes a bio-signal obtainer configured to acquire a bio-signal; and a processor configured to decompose a waveform of the acquired bio-signal into component pulses and extract a feature for the biometric information detection based on characteristic points of the component pulses.

Abstract: An apparatus and a method for estimating cardiovascular information. The apparatus for estimating cardiovascular information may include: a memory storing instructions; a processor configured to execute the instructions to: obtain a pulse wave signal of an object; determine an area under the pulse wave signal and above a reference point on the pulse wave signal; and estimate cardiovascular information of the object based on the determined area of the pulse wave signal.

Abstract: An apparatus for estimating blood pressure includes: a ballistocardiogram (BCG) sensor configured to measure a limb BCG signal from a user; and a processor configured to obtain blood pressure-related features from the measured limb BCG signal, according to sensing characteristics of the BCG sensor, and estimate a blood pressure of the user based on the obtained blood pressure-related features.

Abstract: A feature extraction apparatus configured to perform biometric information detection includes a bio-signal obtainer configured to acquire a bio-signal; and a processor configured to decompose a waveform of the acquired bio-signal into component pulses and extract a feature for the biometric information detection based on characteristic points of the component pulses.

Abstract: Provided is a wireless power data transmission system that may transmit wireless power and may transmit data using wireless power. A wireless power transmitter may include capacitors, and may convert an electrical connection of the capacitors to a parallel connection for charging. The wireless power transmitter may also convert the electrical connection of at least two of the capacitors to a series connection for discharging.

Abstract: A signal processing method, a signal filtering apparatus, and a signal processing apparatus are provided. An input signal may be input into a filter having a passband, a superfluous signal of the passband may be output from the filter, and a target signal may be obtained by subtracting the superfluous signal from the input signal.

Abstract: An apparatus for estimating a blood pressure, includes a sensor configured to measure a bio-signal, and a processor configured to acquire a feature value from the bio-signal, and detect a blood pressure change sign, based on the feature value. The processor is further configured to acquire a scale factor, based on the blood pressure change sign, and estimate the blood pressure, based on the feature value and the scale factor.

Abstract: A blood pressure estimating apparatus is provided. The blood pressure estimating apparatus may include: a sensor configured to measure a bio-signal waveform; and a processor configured to obtain a first feature based on a first area under the bio-signal waveform in a first time interval, obtain a second feature based on a second area under the bio-signal waveform in a second time interval which is different from the first time interval, and estimate blood pressure based on the first feature and the second feature.