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: Various embodiments for techniques for intelligent channel prediction and transmission of related information in a wireless communication system are disclosed. In one embodiment, a method for a first communication device to transmit channel state information (CSI) for a specific channel to a second communication device, may comprise predicting channel state at a plurality of time points by measuring the specific channel; generating CSI for transmitting a plurality of prediction information obtained through the prediction; and transmitting the CSI to the second communication device. At least some of the plurality of prediction information occupy different overheads in the CSI.

Abstract: Proposed is a wireless communication system and, in more detail, an apparatus and method for intelligent model and functionality management considering inference time in a wireless communication system. A method of operating user equipment (UE) for identifying and managing an intelligent functionalities or models in a wireless communication system, includes a process of receiving UE capability enquiry from a base station (BS), and a process of transmitting UE capability information to the base station, wherein the UE capability information includes inference time information, the base station identifies intelligent functionality and model that the user equipment can support, on the basis of the UE capability enquiry and the UE capability information, and performance of an intelligent model that the user equipment can perform is identified on the basis of the inference time information.

Abstract: A blood pressure measuring apparatus according to an aspect of the present invention includes: a touch sensor; a pulse wave measurer configured to measure pulse waves from a user; a contact force measurer including at least three force sensors and configured to measure a contact force between the touch sensor and the user by using the at least three force sensors; a contact area measurer configured to measure a contact area between the user and the touch sensor; and a processor configured to determine a vertical direction error, which indicates a degree of deviation of a direction of force, applied by the user to press the touch sensor, from a vertical direction to a surface of the touch sensor based on sensor values sensed by the at least three force sensors, and estimate blood pressure according to a determination result of the vertical direction error based on the pulse waves, the contact force, and the contact area.

Abstract: An apparatus for measuring bio-signals is provided. According to an example embodiment, the apparatus for measuring bio-signals includes: a light source configured to emit light onto an object; an image sensor including: a pixel array configured to detect the light emitted by the light source and reacted by the object and a pixel binning unit configured to bin data of the light, detected by the pixel array, by using at least two different binning sizes; and a processor configured to acquire a plurality of bio-signals respectively based on data of the at least two different binning sizes, which are output from the image sensor.

Abstract: An apparatus for estimating cardiovascular information includes: a main body; and a strap connected to the main body and formed to be flexible to be wrapped around an object, wherein the main body may include: a pulse wave measurer configured to measure, from the subject, a first pulse wave signal by using a first light of a first wavelength, and a second pulse wave signal by using a second light of a second wavelength, the first wavelength being different from the second wavelength; a contact pressure measurer configured to measure a contact pressure between the object and the pulse wave measurer; and a processor configured to extract a cardiovascular characteristic value based on the first pulse wave signal, the second pulse wave signal, and change in the contact pressure, and estimate cardiovascular information based on the extracted cardiovascular characteristic value.

Abstract: An apparatus for detecting a body component according to an example embodiment includes: a sensor configured to detect a bio-signal of an object according to a contact pressure that gradually changes between the object and the sensor; and a processor configured to determine a time point, at which an amplitude of an alternating current (AC) component of the bio-signal is maximum or a slope of a direct current (DC) component of the bio-signal is maximum, and to detect a body component of the object based on the determined time point.

Abstract: A blood pressure measuring apparatus, may include: a touch sensor; a pulse wave measurer configured to measure pulse waves from a user's finger when the user's finger is in contact with the touch sensor; a contact pressure measurer configured to measure a contact pressure between the user's finger and the touch sensor; a fingerprint recognizer configured to recognize a fingerprint of the user's finger; and a processor configured to determine a degree of position coincidence between the user's finger and the pulse wave measurer based on the recognized fingerprint, and to estimate a blood pressure of the user based on the pulse waves and the contact pressure according to the determined degree of position coincidence.

Abstract: An apparatus for estimating bio-information is provided. The apparatus for estimating bio-information may include: a pulse wave sensor configured to measure a pulse wave signal from an object; a force sensor configured to measure a force exerted by the object to the pulse wave sensor; and a processor configured to obtain a contact pressure based on the force and a reference contact area between the object and a contact surface, and estimate bio-information based on the contact pressure and the pulse wave signal.

Abstract: A bio-signal measurement apparatus may include a first substrate and a second substrate, an optical sensor mounted in the first substrate, a force sensor disposed on or below the first substrate, and a separation structure interposed between the first substrate and the second substrate so as to prevent transmission of a force between the first substrate and the second substrate. An upper surface of the first substrate and an upper surface of the second substrate may be provided at the same level.

Abstract: Provided are foldable electronic device and method for estimating bio-information by using the same. The foldable electronic device may include: a main body part including a first main body and a second main body that are configured to be folded toward each other or unfolded from each other along a fold line where the first main body and the second main body meet; an image sensor part including a first image sensor and a second image sensor which are disposed at the first main body; and a processor configured to obtain a contact image of an object from the first image sensor disposed at the first main body and obtain an image of a marker that is displayed on the second main body, from the second image sensor disposed at the first main body, when the object is in contact with the first image sensor and the main body part is folded along the fold line, and estimate bio-information based on the contact image of the object and the image of the marker.

Abstract: An apparatus for estimating bio-information according to an embodiment includes: a sensor that measures a pulse wave signal from an object and contact pressure of the object; and a processor that obtains an oscillometric envelope based on an amplitude of the pulse wave signal and the contact pressure, and estimates bio-information based on a center of mass of a phase of contact pressure of the obtained oscillometric envelope.

Abstract: Provided are an apparatus and method for measuring bio-information. The apparatus for measuring bio-information includes: a pulse wave sensor configured to emit light of multiple wavelengths onto an object, and detect the light to obtain multi-wavelength pulse wave signals when the light is reflected or scattered from the object; and a processor configured to: obtain a conversion signal that indicates a contact pressure between the object and the pulse wave sensor, based on the multi-wavelength pulse wave signals, obtain an oscillometric envelope based on the multi-wavelength pulse wave signals and the conversion signal, and obtain bio-information based on the oscillometric envelope.

Abstract: An apparatus for estimating bio-information includes: a sensor part configured to obtain contact pressure of a contact surface contacted by an object, and configured to obtain a contact image of the object that contacts the contact surface; and a processor configured to obtain a pulse wave signal of a region of interest based on the contact image, and configured to estimate bio-information based on the obtained pulse wave signal and the contact pressure.

Abstract: An apparatus for estimating biometric information is provided. According to one exemplary embodiment, the apparatus may include a sensor comprising an electrocardiogram (ECG) sensor configured to measure an ECG signal of a user and a pulse wave sensor configured to measure two or more pulse wave signals at two or more measurement sites of the user; and a processor configured to obtain biometric information based on the ECG signal and the two or more pulse wave signals measured by the sensor.

Abstract: An apparatus for estimating bio-information according to an embodiment includes: a sensor that measures a pulse wave signal from an object and contact pressure of the object; and a processor that obtains an oscillometric envelope based on an amplitude of the pulse wave signal and the contact pressure, and estimates bio-information based on a center of mass of a phase of contact pressure of the obtained oscillometric envelope.

Abstract: An apparatus for estimating bio-information includes: a sensor part configured to obtain contact pressure of a contact surface contacted by an object, and configured to obtain a contact image of the object that contacts the contact surface; and a processor configured to obtain a pulse wave signal of a region of interest based on the contact image, and configured to estimate bio-information based on the obtained pulse wave signal and the contact pressure.

Abstract: Provided are foldable electronic device and method for estimating bio-information by using the same. The foldable electronic device may include: a main body part including a first main body and a second main body that are configured to be folded toward each other or unfolded from each other along a fold line where the first main body and the second main body meet; an image sensor part including a first image sensor and a second image sensor which are disposed at the first main body; and a processor configured to obtain a contact image of an object from the first image sensor disposed at the first main body and obtain an image of a marker that is displayed on the second main body, from the second image sensor disposed at the first main body, when the object is in contact with the first image sensor and the main body part is folded along the fold line, and estimate bio-information based on the contact image of the object and the image of the marker.

Abstract: An apparatus for estimating lipid concentration is provided. According to an example embodiment, the apparatus may include a training data collector configured to collect, as training data, a reference lipid concentration measured through blood samples of a plurality of users for a predetermined time period and sensor data obtained through light signals detected from the plurality of users for the predetermined time period and a processor configured to perform preprocessing including a moving average and data augmentation on the obtained sensor data, select a valid variable relevant to a change in lipid concentration based on the preprocessed sensor data and the reference lipid concentration, and generate a lipid concentration prediction model based on the selected valid variable.