Abstract:
An apparatus for estimating bio-information may include a sensor configured to obtain a bio-signal from an object, and a processor configured to obtain a second-order differential signal of the bio-signal, and extract a progressive wave component from the bio-signal using, based on a first local minimum point of the second-order differential signal being stable, the first local minimum point of the second-order differential signal, or extract the progressive wave component from the bio-signal using, based on the first local minimum point of the second-order differential signal being unstable, a maximum amplitude point in a systolic portion of the bio-signal.
Abstract:
An apparatus for calibrating a bio-information estimation model is provided. The apparatus for calibrating a bio-information estimation model includes: a data obtainer configured to obtain at least one pulse wave signal; and a processor configured to extract a plurality of feature sets, each feature set including one or more features, from each of the at least one pulse wave signal, and configured to calibrate a bio-information estimation model based on a correlation distribution of the extracted plurality of feature sets.
Abstract:
A device, a method, and a system recognize a motion using a gripped object. The motion recognition device may estimate a state of a wrist of a user according to a writing action using the gripped object and may estimate a joint motion of a body part related to the wrist according to the writing action. The device may then estimate a state of the gripped object according to the state of the wrist and the joint motion. Additionally, the motion recognition device may control an external device by using a control signal generated by continuously tracking the state of the object.
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 wireless power transmission apparatus includes a resonator configured to transmit power through a resonance with another resonator, a switch configured to connect the resonator to a power source, a setting unit configured to set a target amount of current to flow in the resonator, and a control unit configured to control the switch based on the target amount of current.
Abstract:
A wearable device includes a first sensor configured to detect a first biosignal generated in response to a gesture performed by a user, and a second sensor configured to detect a second biosignal of the user. The device further includes a memory configured to store, with respect to at least one user, information of the first biosignal and the second biosignal, and a processor configured to initiate user authentication based on a result of determining whether the detected first biosignal corresponds to the stored information, and authenticate the user by comparing the detected second biosignal to the stored information.
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:
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:
An apparatus for estimating bio-information is disclosed. The bio-information estimating apparatus includes: a sensor configured to measure a bio-signal; and a processor configured to obtain one or more characteristic points, related to one or more pulse waveform components constituting the bio-signal, based on a differential signal of the bio-signal, and to estimate bio-information based on the obtained one or more characteristic points.
Abstract:
A bio-signal quality assessment apparatus may include: a bio-signal obtainer configured to obtain a bio-signal; and a processor configured to extract periodic signals from the obtained bio-signal, and determine a signal quality index based on at least one of similarity between the extracted periodic signals and signal variability of the obtained bio-signal.