Abstract: Disclosed is a cuffless blood pressure estimating device, which includes a hemodynamic parameter estimating circuit that measures at least two height levels based on position information output from at least one position detection sensor, measures user's bio-signals respectively at the height levels, and estimates a blood pressure from the height levels and the user's bio-signals based on a machine learning algorithm or a state estimation algorithm with a hemodynamic state space model, and at least one processor that controls the hemodynamic parameter estimating circuit.

Abstract: Disclosed herein to a method and apparatus for synchronizing signals. According to an embodiment of the present disclosure, there is provided a method for synchronizing a signal. The method comprising: receiving a reference time and performing time synchronization with the reference time; calculating a clock frequency of a system clock based on the reference time; and generating a sampling clock by using the calculated clock frequency of the system clock and a preset sampling frequency.

Abstract: A swing rotor assembly for a centrifuge. The swing rotor assembly includes a driving unit including a motor, a mounting cap on the motor, and a transmission charging module on the mounting cap to wirelessly charge the battery; a rotor header including a case in which U-shaped curved portions are formed for mounting a bucket while being mounted and rotated on a motor driving shaft, an angle maintaining unit mounted inside the case to control an angle of the bucket and discharge a centrifuged sample, a battery mounted inside the case to drive the angle maintaining unit, a reception charging module on the case to wirelessly charge the battery, and a rotation shaft unit inside the case and rotatably supported at both sides of the bucket; and a bucket on the rotation shaft unit and rotating up and down by a centrifugal force while rotating together with the rotor header.

Abstract: An abnormal respiration detection apparatus includes a sensor for sensing a PPG signal from an optical signal reflected and received from a user's body; a band pass filter for extracting a signal of a required band from the PPG signal; an analog-to-digital converter for performing a digital conversion on the filtered PPG signal; and an abnormal respiration recognition unit deriving a respiration rate signal from the digital-converted PPG signal, deriving a plurality of respiration rate characteristic values through a time axis analysis on the derived respiration rate signal, and detecting an abnormal respiration using the derived plurality of respiration rate characteristic values. The embodiments can be utilized to monitor the survival of elders who live alone, soldiers isolated in a military operation, persons isolated in disaster and accident sites, thereby contributing to public and social safety and building of welfare society and nation.

Abstract: A sleep state determination method using biometric and motion information includes acquiring motion information of a user using a motion sensor; determining a primary sleep state of the user based on the acquired motion information; acquiring biometric information of the user using a biometric sensor when the primary sleep state is determined; and determining a final sleep state of the user by combining the acquired biometric information and the primary sleep state.

Abstract: A method and apparatus for determining a respiration state on the basis of a plurality of biological indicators calculated using bio-signals. The method for determining a respiration state on the basis of a plurality of biological indicators calculated using bio-signals includes collecting a photoplethysmography (PPG) signal measured by a PPG sensor and a cutaneous electric signal measured by an electrodermal activity (EDA) sensor; analyzing the collected PPG signal and cutaneous electric signal and calculating a plurality of biological indicators including a respiration rate; and comprehensively evaluating the plurality of biological indicators to determine a user's respiration state.

Abstract: Disclosed are an apparatus and method for detecting dementia and providing a dementia patient management service.

Abstract: A method and apparatus for determining a respiration state on the basis of a plurality of biological indicators calculated using bio-signals. The method for determining a respiration state on the basis of a plurality of biological indicators calculated using bio-signals includes collecting a photoplethysmography (PPG) signal measured by a PPG sensor and a cutaneous electric signal measured by an electrodermal activity (EDA) sensor; analyzing the collected PPG signal and cutaneous electric signal and calculating a plurality of biological indicators including a respiration rate; and comprehensively evaluating the plurality of biological indicators to determine a user's respiration state.

Abstract: A sleep state determination method using biometric and motion information includes acquiring motion information of a user using a motion sensor; determining a primary sleep state of the user based on the acquired motion information; acquiring biometric information of the user using a biometric sensor when the primary sleep state is determined; and determining a final sleep state of the user by combining the acquired biometric information and the primary sleep state.

Abstract: An abnormal respiration detection apparatus includes a sensor for sensing a PPG signal from an optical signal reflected and received from a user's body; a band pass filter for extracting a signal of a required band from the PPG signal; an analog-to-digital converter for performing a digital conversion on the filtered PPG signal; and an abnormal respiration recognition unit deriving a respiration rate signal from the digital-converted PPG signal, deriving a plurality of respiration rate characteristic values through a time axis analysis on the derived respiration rate signal, and detecting an abnormal respiration using the derived plurality of respiration rate characteristic values. The embodiments can be utilized to monitor the survival of elders who live alone, soldiers isolated in a military operation, persons isolated in disaster and accident sites, thereby contributing to public and social safety and building of welfare society and nation.

Abstract: Disclosed are an apparatus and method for detecting dementia and providing a dementia patient management service.

Abstract: An apparatus and method are disclosed for providing route guidance based on emotion. The apparatus includes an emotion information acquisition unit, a route information calculation unit, and a route guidance unit. The emotion information acquisition unit obtains information about a user's emotion using an emotion acquisition sensor. The route information calculation unit calculates emotion route information using the obtained emotion information and map information. The route guidance unit provides route guidance to the user using the calculated emotion route information.

Abstract: A digital interior system includes a sensitivity-space-environment detection engine for collecting sensitivity information, space related information, or environmental information about an interior space. Further, the digital interior system includes an interior content generation system for generating interior content about each of objects in the interior space based on the sensitivity information, space related information or environmental information collected by the sensitivity-space-environment detection engine. Furthermore, the digital interior system includes a digital interior construction system for performing interior construction using each of pieces of interior content generated by the interior content generation system.

Abstract: An apparatus and method for recognizing an emotion by use of a heart rate data is provided. The apparatus includes an input signal generation unit configured to receive a plurality of heart rate data, and generate input signals each having a sequence, a signal classification unit configured to classify the input signals into groups, and an emotion recognition unit configured to search for a group, to which the input signal generated by the input signal generation unit belongs, among the groups classified by the signal classification unit, and recognize a user emotion corresponding to the found group.

Abstract: An apparatus and method are disclosed for providing route guidance based on emotion. The apparatus includes an emotion information acquisition unit, a route information calculation unit, and a route guidance unit. The emotion information acquisition unit obtains information about a user's emotion using an emotion acquisition sensor. The route information calculation unit calculates emotion route information using the obtained emotion information and map information. The route guidance unit provides route guidance to the user using the calculated emotion route information.

Abstract: An emotion-based vehicle service system for safe driving includes a multi-emotion sensor node configured to sense emotion information of a driver and passenger in a vehicle and condition information of the vehicle. The emotion-based vehicle service system further includes an emotion cognition processing apparatus configured to analyze sensing information provided from the multi-emotion sensor node to generate emotion cognition information, and a safe driving service apparatus configured to provide an emotion-based safe driving service depending on the emotion cognition information.

Abstract: Provided are a dual mode terminal for supporting an access in a different network, a network apparatus, and an operation method thereof. The dual mode terminal may include: an interface to receive first network information from a first network apparatus and to receive second network information from a second network apparatus in response to each network information request; a selection unit to select a single network apparatus based on the first network information and the second network information; and a processing unit to transmit a call connection request to the selected network apparatus, and to control a communication with the selected network apparatus depending on whether the selected network apparatus allows a call connection.

Abstract: Provided are a method for emotion communication to share a user's emotions between an emotion signal sensing device and an emotion service providing device. The method for emotion communication includes: the emotion signal sensing device's sensing biological and environmental information of the user and generating an emotion signal and emotion information of the user based on the biological and environmental information; establishing an emotion communication connection with the emotion service providing device; transmitting the emotion signal and the emotion information to the emotion service providing device by the emotion communication connection establishment; and breaking the connection with the emotion service providing device.

Abstract: The present invention relates to a sensing device of an emotion signal and a method thereof capable of recognizing and analyzing the change in emotion by collecting at least one of the bio signals and peripheral environmental signals, guiding the state of emotion to a user, and sharing emotion information with authorized persons and communicating it between them. The sensing device of the emotion signal according to the embodiment of the present invention includes a sensing signal processor that senses a plurality of bio signals and peripheral environment signals of a user; an emotion signal processor that generates emotion signals representing the emotional state of the user for each of the sensed bio signals and collects the emotion signals to generate an emotion index; and an emotion signal communication unit that optionally transmits the emotion signals and the emotion index to external authorized devices.

Abstract: An apparatus and method for recognizing an emotion by use of a heart rate data is provided. The apparatus includes an input signal generation unit configured to receive a plurality of heart rate data, and generate input signals each having a sequence, a signal classification unit configured to classify the input signals into groups, and an emotion recognition unit configured to search for a group, to which the input signal generated by the input signal generation unit belongs, among the groups classified by the signal classification unit, and recognize a user emotion corresponding to the found group.