Abstract: Disclosed is a method and apparatus for measuring a distance to a target object by using a radar signal in an environment where an obstacle is present. The disclosed method of measuring a distance by using a radar includes: receiving a radar signal reflected from a target object by passing through a target obstacle; estimating material of the target obstacle by using an obstacle material learning result which uses a waveform of a reference radar signal, and by using a waveform of the reflected radar signal; estimating a thickness of the target obstacle by using an obstacle thickness learning result which uses a frequency feature of the reference radar signal, and by using a frequency feature of the reflected radar signal; and calculating a distance to the target object by using a permittivity according to the material of the target obstacle, and the thickness of the target obstacle.

Abstract: Disclosed are a method and a device for measuring a biometric signal by using a radar. The disclosed method measures a plurality of biometric signals by using a radar by: (a) receiving the plurality of biometric signals from the radar; (b) calculating distance information of the received plurality of biometric signals and classifying the same on the basis of a distance; (c) selecting a signal having a largest variance according to a time; (d) further selecting a number of signals among signals having a distance with the signal selected in the step (c) smaller than an arbitrary distance from the distance-based classified signals; (e) converting all signals selected from a time domain to a frequency domain; (f) calculating a reliability of each biometric signal from the converted distance-based signals; and (g) detecting a corresponding biometric signal by selecting the distance-based signal where the calculated reliability is highest.

Abstract: Disclosed is a moving object detection system and method. The moving object detection system includes an input unit receiving the sensed signals from two or more radar devices, a distance information computation unit computing distance information of the objects from the received signals, a grouping unit randomly selecting one signal to generate multiple signal groups, and generating the signal groups selected among the generated multiple signal groups as one signal group combination, a calculation unit calculating cross-correlation values for all the signal groups in the same signal group combination and adding up the calculated cross-correlation values, a combination selection unit selecting the signal group combination in which a sum of the cross-correlation values is a maximum, and a position computation unit computing a position of each object by matching the signal groups in the selected signal group combination to the objects.

Abstract: Disclosed is a method and a device for measuring sleep efficiency by using a radar, the device including: a height recognition unit recognizing a height of a measurement target person by using a signal received from the radar; a movement section extraction unit extracting a movement section of the person during sleep from the received signal, and calculating a length of the extracted movement section and an amount of movement; a normalization unit normalizing the amount of the movement by applying, to the calculated amount of the movement, a ratio between the height of the person and the length of the movement section; a sleep/wakefulness state determination unit determining whether the person is in a wakefulness state or a sleep state; and a sleep efficiency calculation unit calculating the sleep efficiency.

Abstract: Disclosed are a method and a device for adaptively configuring a threshold for object detection by means of radar, the device including: a position-specific maximum signal value extraction unit extracting a maximum value of a signal for each position by obtaining the signal when there is no moving object; a position-specific signal magnitude sorting unit obtaining signals caused by a moving object, and sorting magnitudes of the obtained signals for each position in descending order for a time index; a candidate signal index selection unit selecting a candidate signal index; a signal index determination unit setting weighting factors for the respective signals up to the candidate signal index, and determining a sum of the weighting factors as a signal index; and a position-specific threshold configuring unit configuring the threshold for each position by using a signal of the determined signal index and a scaling factor.

Abstract: Provided is a method including steps: (a) storing in a database an eigenvector and an eigenvalue for each recognizable gesture, with respect to a first signal input through a radar apparatus and a second signal resulting from removing background information from the first signal: (b) receiving a third signal from which to determine a gesture, as an input, from the radar apparatus: (c) removing background information from the third signal from which to determine the gesture to obtain a fourth signal: (d) computing an inner product of the eigenvector and a signal matrix relating to each of the third signal from which to determine the gesture and the fourth signal resulting from removing the background information from the third signal: and (e) comparing the computed inner product with the eigenvalue in the database, in which the eigenvector is extracted from signals of all recognizable gestures and the eigenvalue, and the eigenvalue for each recognizable gesture is an inner product of the eigenvector and the si

Abstract: Provided is a method and device for recognizing a pointing location by using a radar. A device according to an embodiment of the present disclosure comprises: a weight value space generation unit for generating a weight value space comprising a plurality of unit spaces in a space in front of the screen, and setting weight values in proportion to intensity of clutter-removed reception signals of the plurality of radars to the unit spaces; a hand area detection unit for adding up the set weight values for each of the unit spaces of the weight value space; an effective radar selection unit for selecting, as an effective radar, a radar having a shortest distance to the detected hand area among the plurality of radars; and a finger position determination unit for detecting a first location (first path) exceeding a predetermined threshold value.

Abstract: Disclosed is a moving object detection system and method. The moving object detection system includes an input unit receiving the sensed signals from two or more radar devices, a distance information computation unit computing distance information of the objects from the received signals, a grouping unit randomly selecting one signal to generate multiple signal groups, and generating the signal groups selected among the generated multiple signal groups as one signal group combination, a calculation unit calculating cross-correlation values for all the signal groups in the same signal group combination and adding up the calculated cross-correlation values, a combination selection unit selecting the signal group combination in which a sum of the cross-correlation values is a maximum, and a position computation unit computing a position of each object by matching the signal groups in the selected signal group combination to the objects.

Abstract: Provided is a method and apparatus for measuring a bio-signal using a radar. An apparatus for measuring a bio-signal using a radar according to an embodiment of the present invention comprises: a first signal acquisition unit for acquiring, from a first radar, a first signal including a first bio-signal measured from a measurement subject, a second signal acquisition unit for acquiring, from a second radar, a second signal including both a second bio-signal and the first bio-signal measured from the measurement subject; a signal synchronization unit for synchronizing the first signal and the second signal and a bio-signal detection unit for calculating the difference between the synchronized first and second signals so as to eliminate the first bio-signal and detect the second bio-signal from the second signal.