Abstract: A data analysis system includes: a data acquisition unit that acquires sensor data including user identification information; a data collection processing unit that collects the sensor data from a predetermined region as a target; a data analysis unit that calculates the number of users who are staying in the predetermined region based on the user identification information; an estimation unit that estimates density of the users based on the number of the users; and an alert display unit that displays the density.

Abstract: A monitoring system includes a first acquisition unit that acquires identification information unique to a user, a second acquisition unit that acquires position information of the user, an action history calculation unit that obtains an action history of the user from the identification information of the user acquired by the first acquisition unit and the position information acquired by the second acquisition unit, and a presentation unit that presents the action history of the user calculated by the action history calculation unit, wherein the action history includes at least one of a period for which and a frequency at which the user stayed at a position indicated by the position information.

Abstract: A rehabilitation support system includes a data acquisition unit that acquires sensor data including biological information, an activity amount calculation unit that calculates an activity amount accompanying activity of user, based on the acquired sensor data, a cumulative value calculation unit that calculates the cumulative value of the activity amount of the user in the set period, a display processing unit that generates an image item corresponding to the cumulative value, and a second display unit that displays the image item generated by the display processing unit on the display screen, and a plurality of the set periods are included in the period of activity of the user.

Abstract: A monitoring system includes a sensor data acquisition device configured to acquire information on an activity of a user; a data analyzer configured to analyze the acquired information on the activity of the user and detect occurrence of an abnormality in the activity of the user; an imaging controller configured to instruct an imaging terminal device that captures an image of the activity of the user to start capturing an image of the user and record imaging data in a case where the occurrence of the abnormality is detected by the data analyzer; an imaging data acquisition device configured to acquire the imaging data recorded by the imaging terminal device; a data storage device configured to store the imaging data acquired by the imaging data acquisition device; and an output device configured to output the imaging data.

Abstract: A first calculation unit calculates the heart rate of a subject from a plurality of instantaneous heart rates by averaging processing with an IIR filter using a first coefficient. Note that the first coefficient is a numerical value less than 1, and is a fixed value. A second calculation unit calculates the heart rate of the subject from the plurality of instantaneous heart rates by averaging processing with an IIR filter using a second coefficient. The second coefficient is a numerical value less than 1, and is a variable value. A switching unit switches between the first calculation unit and the second calculation unit based on a difference between the precedingly calculated heart rate and a latest instantaneous heart rate.

Abstract: A data analysis system includes relay apparatuses for communicating with a wireless terminal in a communication area of the relay apparatus, and a data analysis apparatus connected to the relay apparatuses through a communication network for analyzing data regarding the wireless terminal, wherein each relay apparatus includes a determiner for determining whether the wireless terminal is present in the communication area at fixed time intervals, a time imparter for imparting a time at which the determination is performed to a determination result, and a transmitter and receptor for transmitting the determination result to the data analysis apparatus with the imparted time, and the data analysis apparatus includes a transmitter and receptor for receiving the determination result and the imparted time, an analyzer for analyzing information on the wireless terminal at each time based on the time and the determination result, and a display for displaying an analysis result.

Abstract: An embodiment activity state analysis device includes a measurement unit configured to measure a piece of biological information including a heart rate or a pulse rate of a user, a storage unit configured to store a plurality of the pieces of biological information measured in time series, a representative value calculation unit configured to acquire the plurality of the pieces of biological information measured when the user is resting from the storage unit and calculate a representative value, and an activity state calculation unit configured to calculate an activity state of the user by using the representative value calculated by the representative value calculation unit.

Abstract: A biological information analysis apparatus includes a sensor data acquisition unit that acquires biological information of a user measured by a sensor, a storage unit that stores time-series data for the acquired biological information of the user, and an analysis unit that calculates statistical representative values of the time-series data for the biological information stored in the storage unit in a stepwise manner. The analysis unit includes a first calculation unit that calculates first representative values (intermediate representative values) from the time-series data for the biological information stored in the storage unit at intervals of a set period, and a second calculation unit that calculates a second representative value (a final representative value) from one intermediate representative value or multiple consecutive intermediate representative values.

Abstract: A biological information analysis apparatus includes a sensor data acquirer that acquires biological information of a user measured by a sensor, a data analyzer that analyzes time-series data for the biological information over a plurality of time intervals and, from multiple pieces of biological information that were acquired at mutually corresponding times of measurement in respective ones of the plurality of time intervals, calculates representative values for the multiple pieces of biological information, a measurement anomaly detector that detects an anomaly contained in the measured biological information based on time-series data with the representative values calculated by the data analyzer or on the time-series data for the multiple pieces of biological information that was used in calculation of the time-series data with the representative values, and a presenter that outputs the calculated representative values for the multiple pieces of biological information and information indicating the detecte

Abstract: A biological information analysis device includes a sensor data acquisition unit that acquires the biological information measured by a sensor and a data analysis unit that analyzes time-series data of the biological information over a plurality of times periods to calculate, from a plurality of biological information sets acquired at the mutually corresponding measurement times in the plurality of individual time periods, a representative value of the plurality of biological information sets.

Abstract: A first calculation unit obtains an activity amount concerning the body movement of a measurement subject from a change in physical information measured by a physical measurement unit. A second calculation unit obtains a physiological load imposed on the measurement subject from a change in physiological information measured by a physiological measurement unit. A graph generation unit generates a graph concerning the activity amount obtained by the first calculation unit and the physiological load obtained by the second calculation unit. For example, the graph generation unit sets, as a first parameter, a change in the activity amount obtained by the first calculation unit, sets, as a second parameter, a change in the physiological load obtained by the second calculation unit, and generates two-dimensional graph data with the first parameter and the second parameter.

Abstract: A method for a data analysis system includes measuring, by a sensor terminal of the data analysis system, sensor data; receiving, by a teacher data input terminal of the data analysis system, teacher data input into the teacher data input terminal; and generating, a server by the data analysis system, a classifier according to learning through the sensor data and the teacher data. The sensor terminal transmits the sensor data to the server, receives the classifier generated by the server, analyzes the sensor data according to the classifier, and transmits an analysis result of the analyzing the sensor data to the server. The teacher data input terminal transmits the teacher data to the server. The server generates the classifier, analyzes the sensor data according to the classifier, transmits the classifier to the sensor terminal, and receives the analysis result from the sensor terminal.

Abstract: A first calculation unit calculates the heart rate of a subject from a plurality of instantaneous heart rates by averaging processing with an IIR filter using a first coefficient. Note that the first coefficient is a numerical value less than 1, and is a fixed value. A second calculation unit calculates the heart rate of the subject from the plurality of instantaneous heart rates by averaging processing with an IIR filter using a second coefficient. The second coefficient is a numerical value less than 1, and is a variable value. A switching unit switches between the first calculation unit and the second calculation unit based on a difference between the precedingly calculated heart rate and a latest instantaneous heart rate.

Abstract: A measurement unit is attached to a measurement target person and measures an acceleration. A body motion calculation unit obtains the magnitude of a body motion of the measurement target person based on the acceleration measured by the measurement unit. An activity state determination unit time-serially obtains an activity state representing whether the measurement target person is in a first state or a second state, based on a posture decided by a posture decision unit and the magnitude of the body motion calculated by the body motion calculation unit. If the activity state after continues for a predetermined time defined in advance, an activity state correction unit determines that the transition of the activity state obtained by the activity state determination unit has been done. A time correction unit returns the transition time of the activity state determined by the activity state correction unit.

Abstract: A light-controlled light modulator can achieve high-speed, low-loss wavelength conversion. Continuous light with a wavelength ?j is launched into an MMI coupler via a port, and is split into two parts by the MMI coupler, which are led to a loop-type interferometer. In the loop-type interferometer, the two parts travel separately around the loop as clockwise traveling light and counterclockwise traveling light, are combined by the MMI coupler again via a filter-equipped phase modulator, thereby being emitted to the port. In this state, signal light ?i(s) with a wavelength ?i is launched into the filter-equipped phase modulator via a port. Even when the wavelength ?i of the signal light ?i(s) is equal to the wavelength ?j of the wavelength converted output light, the wavelength conversion can be achieved with preventing noise from being mixed into the output light emitted from a port.

Abstract: A light-controlled light modulator can achieve high-speed, low-loss wavelength conversion. Continuous light with a wavelength &lgr;j is launched into an MMI coupler via a port, and is split into two parts by the MMI coupler, which are led to a loop-type interferometer. In the loop-type interferometer, the two parts travel separately around the loop as clockwise traveling light and counterclockwise traveling light, are combined by the MMI coupler again via a filter-equipped phase modulator, thereby being emitted to the port. In this state, signal light &lgr;i(s) with a wavelength &lgr;i is launched into the filter-equipped phase modulator via a port. Even when the wavelength &lgr;i of the signal light &lgr;i(s) is equal to the wavelength &lgr;j of the wavelength converted output light, the wavelength conversion can be achieved with preventing noise from being mixed into the output light emitted from a port.

Abstract: A polarization mode dispersion compensating device is formed by a polarization mode dispersion equalizer, a polarization component splitting unit for splitting a part of the polarization mode dispersion compensated optical signal into the TE polarization component and the TM polarization component, an optical XOR circuit for carrying out an optical XOR operation on the TE polarization component and the TM polarization component, and a control system for controlling the polarization mode dispersion equalizer such that the logical operation result outputted by the optical XOR circuit becomes “0”.

Abstract: A light-controlled light modulator can achieve high-speed, low-loss wavelength conversion. Continuous light with a wavelength &lgr;j is launched into an MMI coupler via a port, and is split into two parts by the MMI coupler, which are led to a loop-type interferometer. In the loop-type interferometer, the two parts travel separately around the loop as clockwise traveling light and counterclockwise traveling light, are combined by the MMI coupler again via a filter-equipped phase modulator, thereby being emitted to the port. In this state, signal light &lgr;i(s) with a wavelength &lgr;i is launched into the filter-equipped phase modulator via a port. Even when the wavelength &lgr;i of the signal light &lgr;i(s) is equal to the wavelength &lgr;j of the wavelength converted output light, the wavelength conversion can be achieved with preventing noise from being mixed into the output light emitted from a port.

Abstract: A polarization mode dispersion compensating device is formed by a polarization mode dispersion equalizer, a polarization component splitting unit for splitting a part of the polarization mode dispersion compensated optical signal into the TE polarization component and the TM polarization component, an optical XOR circuit for carrying out an optical XOR operation on the TE polarization component and the TM polarization component, and a control system for controlling the polarization mode dispersion equalizer such that the logical operation result outputted by the optical XOR circuit becomes “0”.

Abstract: A light-controlled light modulator can achieve high-speed, low-loss wavelength conversion. Continuous light with a wavelength &lgr;j is launched into an MMI coupler via a port, and is split into two parts by the MMI coupler, which are led to a loop-type interferometer. In the loop-type interferometer, the two parts travel separately around the loop as clockwise traveling light and counterclockwise traveling light, are combined by the MMI coupler again via a filter-equipped phase modulator, thereby being emitted to the port. In this state, signal light &lgr;i(s) with a wavelength &lgr;i is launched into the filter-equipped phase modulator via a port. Even when the wavelength &lgr;i of the signal light &lgr;i(s) is equal to the wavelength &lgr;j of the wavelength converted output light, the wavelength conversion can be achieved with preventing noise from being mixed into the output light emitted from a port.