Abstract:
An apparatus for estimating bio-information includes a sensor part configured to measure a pulse wave signal and a contact force of an object, while the object is in contact with the sensor part. The apparatus further includes a processor configured to extract a first feature from the measured pulse wave signal and the measured contact force, select one estimation model from a plurality of estimation models, based on a second feature of a user corresponding to the object, and estimate the bio-information, by inputting the extracted first features in the selected estimation model.
Abstract:
A parallel biometric signal processor and a method of controlling the parallel biometric signal processor are described. The processor and corresponding method include amplifiers configured to amplify a biometric signal based on an amplifying attribute and converters configured to convert the amplified signal to a converted signal based on a converting attribute. The processor also includes preprocessors configured to preprocess the converted signal based on a preprocessing attribute, and feature extractors configured to extract a set of biometric information from an output signal of the preprocessors.
Abstract:
Provided is a method and apparatus to adaptively set a threshold for signal demodulation. The apparatus and the method include adaptively setting a threshold to demodulate a currently received symbol based on the demodulation value of a previously received symbol based on a comparison value. The comparison value is obtained by comparing a number of previously received symbols having a demodulation value of “0” and a number of currently received symbols having a demodulation value of “1”.
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 method and a wearable device to sense a motion of a user may include a motion sensor configured to sense a motion signal from a motion of a user of the wearable device, and a processor configured to calculate a motion of the wearable device based on the motion signal and position related information from a neighbor wearable device.
Abstract:
An apparatus for estimating biological information may include a sensor configured to detect a first light signal and a second light signal from an object of a user and a processor configured to determine whether a condition for estimating biological information is satisfied based on the detected first light signal and estimate biological information based on the second light signal, wherein the sensor includes a force sensor configured to measure a force applied to the object when the object is in contact with a cover surface of the sensor.
Abstract:
An apparatus for measuring bio-information may include: a pulse wave sensor comprising at least one pair of light emitters which are disposed apart from each other and a light receiver disposed between the at least one pair of light emitters, and configured to measure a plurality of pulse wave signals from an object by using the light receiver and the at least one pair of light emitters; a force sensor configured to measure a contact force that is applied to the pulse wave sensor by the object; and a processor configured to generate an integrated pulse wave signal by integrating the plurality of pulse wave signals based on the contact force and an area of a contact surface of the pulse wave sensor, and estimate bio-information of the object based on the integrated pulse wave signal.
Abstract:
A parallel biometric signal processor and a method of controlling the parallel biometric signal processor are described. The processor and corresponding method include amplifiers configured to amplify a biometric signal based on an amplifying attribute and converters configured to convert the amplified signal to a converted signal based on a converting attribute. The processor also includes preprocessors configured to preprocess the converted signal based on a preprocessing attribute, and feature extractors configured to extract a set of biometric information from an output signal of the preprocessors.
Abstract:
A bio-information processing apparatus may include: a bio-signal measurer configured to measure a bio-signal; a bio-information receiver configured to receive first bio-information; and a processor configured to estimate second bio-information based on the bio-signal, and to correct the second bio-information based on measurement circumstances of the first bio-information and the second bio-information.
Abstract:
A wearable mobile device and a method of detecting a biosignal with a wearable mobile device are provided. A method of detecting a biosignal with a wearable mobile device involves determining whether a wearable mobile device is closely attached to a user; and providing a biosignal-based service in response to the wearable mobile device being determined to be closely attached to the user.