Abstract: A sensor includes: a transmitting antenna with N transmitting antenna elements transmitting transmission signals; a receiving antenna with M receiving antenna elements, each receiving N received signals including a reflection signal generated by the living body reflecting part of the N transmission signals; a circuit; and a memory. The circuit extracts a second matrix corresponding to a specified frequency range from an N×M first matrix calculated from each received signal and indicating a propagation property between each transmitting antenna element and each receiving antenna element, estimates the position where the living body is present using the second matrix, calculates a radar cross-section (RCS) value of the living body based on the estimated position and the positions of the transmission and receiving antennas, and estimates the motion of the living body using the calculated RCS value and information indicating correspondence between RCS values and motions of the living body.

Abstract: A sensor includes circuitry and a memory, wherein the circuitry acquires an N×M first matrix having complex-number transfer function components representing propagation characteristics between a transmit antenna element and a receive antenna element, from N receive signals received by each of M receive antenna elements for a predetermined period. The circuitry extracts a second matrix, corresponding to a predetermined frequency range from the first matrix, representing components influenced by a vital sign, and estimates a position of the organism with respect to the sensor by using the second matrix. The circuitry also calculates a first distance, indicating a distance between the organism and the transmit antenna, and a second distance, indicating a distance between the organism and the receive antenna. The circuitry further calculates a radar cross-section value with respect to the organism, and estimates a posture of the organism.

Abstract: An identification device includes: M transmission antenna elements each of which transmits a first transmission signal to a predetermined area including a first living body; N receivers disposed surrounding the predetermined area, and each including a reception antenna element and receiving, using the reception antenna element, a first reception signal including a reflection signal obtained as a result of the first transmission signal being reflected by the first living body, during a predetermined period; a memory storing teacher signals which are M×N second reception signals obtained about a second living body; and a circuit which calculates a plurality of correlation coefficients from the teacher signals and M×N first reception signals obtained as a result of each of the N receivers receiving the first reception signal, performs biometric authentication of the first living body, and identifies the first living body and the second living body as identical.

Abstract: An estimating method includes: measuring and receiving reception signals including a reflected signal reflected by a moving body, for a first period equivalent to a cycle of movement of the moving body; calculating first complex transfer functions indicating propagation characteristics, from the reception signals measured in the first period; calculating second complex transfer functions having reduced components corresponding to fluctuations, from the first complex transfer functions; extracting moving body information corresponding to a component related to the moving body by extracting moving body information corresponding to a predetermined frequency range of the second complex transfer functions calculated; and estimating a direction in which the moving body is present using the moving body information.

Abstract: Complex transfer functions indicating characteristics of propagation between transmission antenna elements and N reception antenna elements are calculated from reception signals received by the N reception antenna elements during a predetermined period. Components affected by vital activity are extracted from the calculated complex transfer functions. A correlation matrix is calculated from changed components affected by vital activity. A steering vector for regions divided from a target region is calculated. A living-body signal intensity vector is estimated by performing compressed sensing for an unknown value that is the living-body signal intensity vector using a correlation matrix vector and an extended steering vector.

Abstract: An estimation method according to the present disclosure includes: extracting, from a plurality of calculated complex transfer functions, living body components respectively corresponding to N reception antenna elements and affected by a living body; calculating a correlation matrix based on the extracted living body components respectively corresponding to the N reception antenna elements; computing one or more eigenvalues of the calculated correlation matrix; estimating a credibility of an estimation result of estimating the position or the direction of a living body in a target space, using the one or more computed eigenvalues and living body count information indicating a value indicating a total number of living bodies in the target space; and estimating the position or the direction of the living body via a predetermined method, based on the correlation matrix, according to the credibility of the estimation result.

Abstract: An estimation method for estimating target region information relating to a target region by using an estimation device that estimates information including a position of a living body by using a radio wave includes: acquiring first information relating to lengths of a planar shape of the target region; acquiring second information relating to an installation state of a transmission antenna and a reception antenna included in the estimation device; acquiring third information relating to a trajectory defined by a plurality of positions of the living body estimated by the estimation device when the living body moves along a predetermined path in the target region; and performing at least one of (1) estimation of the planar shape by correcting the first information and (2) estimation of the installation state by correcting the second information based on the first, second, and third information acquired, as the estimation of the target region information.

Abstract: An estimation method includes: transmitting transmission signals using M transmission antenna elements; receiving reception signals by N reception antenna elements; calculating, from the reception signals, a first matrix whose components are complex transfer functions indicating propagation characteristics between the transmission antenna elements and the reception antenna elements; estimating, using the first matrix, a position and an orientation of a living body relative to an estimation device; when the estimated position is in a first identification region and the estimated orientation is in a predetermined range from a first direction, identifying the living body based on time waveforms of the reception signals and a first training signal which is obtained in advance in the first identification region and corresponds to the living body; and adding, as an identification region for identifying the first living body identified, a new identification region based on an estimated position of the first living b

Abstract: A device differentiates a living body, the device including a circuit. The circuit acquires first N reception signals, each of the first N reception signals has been received at respective one receiver out of N receivers, which are arranged to surround a periphery of a predetermined range, using respective reception antenna elements of the N receivers during a predetermined period. The circuit also calculates a plurality of correlation coefficients based on a teacher signal, stored in the memory, and the first N reception signals. The circuit further determines that the living body and a subject living body are identical to each other when a correlation coefficient, included in the plurality of correlation coefficients, is included in a predetermined value range.

Abstract: A sensor includes circuitry and a memory, wherein the circuitry acquires an N×M first matrix having complex-number transfer function components representing propagation characteristics between a transmit antenna element and a receive antenna element, from N receive signals received by each of M receive antenna elements for a predetermined period. The circuitry extracts a second matrix, corresponding to a predetermined frequency range from the first matrix, representing components influenced by a vital sign, and estimates a position of the organism with respect to the sensor by using the second matrix. The circuitry also calculates a first distance, indicating a distance between the organism and the transmit antenna, and a second distance, indicating a distance between the organism and the receive antenna. The circuitry further calculates a radar cross-section value with respect to the organism, and estimates a posture of the organism.

Abstract: A sensor includes: a transmission signal generator including N transmission antenna elements that respectively transmit N transmission signals to a predetermined range in which a living body is possibly present, where N is a natural number greater than or equal to 3; a receiver including M reception antenna elements that respectively receive N reception signals including one or more reflected signals, where M is a natural number greater than or equal to 3, the one or more reflected signals being one or more of the N transmission signals transmitted by the N transmission antenna elements that is reflected or scattered by the living body; circuitry; and memory. The circuitry estimates traveling of the living body, and/or the posture and/or action of the living body at the position of the living body.

Abstract: An estimating device includes: a transmission antenna; a transmission signal generator that generates a multicarrier signal; a transmitter that outputs the multicarrier signal to the transmission antenna; a reception antenna; a receiver that measures reception signals including a reflected signal which is the transmitted multicarrier signal that has been reflected or dispersed by the moving body; a complex transfer function calculator that calculates, from the measured reception signals, a plurality of complex transfer functions indicating propagation characteristics between a transmission antenna element and a reception antenna element; a moving body correlation matrix calculator that calculates, for each of subcarriers, a moving body correlation matrix from the complex transfer functions; a subcarrier integrator that integrates the moving body correlation matrices; and an estimation processor that estimates the direction or position in which the moving body is present, using the integrated moving body corre

Abstract: A device differentiates a living body, the device including a circuit. The circuit acquires first N reception signals, each of the first N reception signals has been received at respective one receiver out of N receivers, which are arranged to surround a periphery of a predetermined range, using respective reception antenna elements of the N receivers during a predetermined period. The circuit also calculates a plurality of correlation coefficients based on a teacher signal, stored in the memory, and the first N reception signals. The circuit further determines that the living body and a subject living body are identical to each other when a correlation coefficient, included in the plurality of correlation coefficients, is included in a predetermined value range.

Abstract: A sensor includes a transmit antenna, a receive antenna, circuitry, and a memory. The transmit antenna includes N transmit antenna elements each transmitting a transmit signal. The receive antenna includes M receive antenna elements each receiving N receive signals including reflection signals reflected by an organism. The circuitry extracts a second matrix corresponding to a predetermined frequency range from an N×M first matrix representing propagation characteristics between each transmit antenna element and each receive antenna element calculated from the receive signals. The circuitry estimates the position of the organism by using the second matrix, and calculates a radar cross-section value with respect to the organism, based on the estimated position and the positions of the transmit antenna and the receive antenna.

Abstract: An estimation device includes: a living body information extraction unit that extracts living body information which is a component corresponding to one or more living bodies in a space; an eigenvector calculation unit that calculates one or more eigenvectors of a living body correlation matrix obtained from the living body information; a first position estimation unit that estimates, using the living body correlation matrix, positions of the one or more living bodies and at least one false image, according to a predetermined position estimation method; a second steering vector output unit that extracts, from first steering vectors stored in a storage, and outputs as second steering vectors, first steering vectors corresponding to the positions estimated; and a second position estimation unit that estimates at least one of the position and the number of the one or more living bodies, using the one or more eigenvectors and the second steering vectors.

Abstract: A device that differentiates a living body includes at least one transmission antenna element that transmits a transmission signal to a predetermined range including the living body, N receivers that are arranged to surround a periphery of the predetermined range and each receive N reception signals using respective reception antenna elements of the receivers during a predetermined period, the N reception signals including a reflection signal resulting from the transmission signal reflected off the living body, memory that stores a teacher signal, a circuit that calculates a plurality of correlation coefficients according to the teacher signal and the N reception signals received by the N receivers and determines that the living body and the subject living body are identical to each other when a predetermined correlation coefficient included in the plurality of correlation coefficients is included in a predetermined value range.

Abstract: There is provided an estimation device that estimates a living body orientation.

Abstract: w An estimation method is provided which includes: calculating a plurality of complex transfer functions, based on reception signals respectively received by N reception antenna elements during a predetermined period, the complex transfer functions each representing propagation characteristics between a transmission antenna element and the N reception antenna elements; extracting a variation component corresponding to each of the N reception antenna elements, from the calculated complex transfer functions, the variation component being caused by a living body; calculating a correlation matrix based on the variation component corresponding to each of the N reception antenna elements: calculating eigenvalues of the correlation matrix calculated in the calculating of the correlation matrix; and estimating the number of living bodies in a predetermined method, using the eigenvalues calculated in the calculating of the eigenvalues.

Abstract: An identification device includes: M transmission antenna elements each of which transmits a first transmission signal to a predetermined area including a first living body; N receivers disposed surrounding the predetermined area, and each including a reception antenna element and receiving, using the reception antenna element, a first reception signal including a reflection signal obtained as a result of the first transmission signal being reflected by the first living body, during a predetermined period; a memory storing teacher signals which are M×N second reception signals obtained about a second living body; and a circuit which calculates a plurality of correlation coefficients from the teacher signals and M×N first reception signals obtained as a result of each of the N receivers receiving the first reception signal, performs biometric authentication of the first living body, and identifies the first living body and the second living body as identical.

Abstract: A method for determining a blood pressure measurement state, using a device that is held in a hand of a user to whom a blood pressure meter is mounted. The method includes: obtaining (i) image data including a face of the user by a camera that the device has, (ii) first information indicating an inclination angle of the determining device as to the gravitational direction, by an angle sensor that the device has, and (iii) second information indicating a position of the face of the user in the image data, and the proportion of the size of the face of the user in the image data; determining whether or not the user is correctly using the blood pressure meter based on the image data, the first information and the second information; and providing a notification indicating the determination result.