Abstract: A sensor data correction system, includes: a standard motion mechanism unit for performing a standard motion of a wearable sensor; a determination unit calculating a relationship between first sensor data that is sensed by a first wearable sensor provided with the standard motion mechanism unit and second sensor data that is sensed by a second wearable sensor provided with the standard motion mechanism unit; and a correction unit correcting the first sensor data or the second sensor data, on the basis of the relationship that is calculated by the determination unit.

Abstract: A work detection determination system performs detection determination on a work with high accuracy.

Abstract: The present invention makes it possible to automatically define a work time for creating a model even if a work time distribution in work record data is not uniform. For this purpose, features of work time distributions are extracted for individual product type numbers and individual work codes on the basis of a feature classification library 202 from work record data 201 indicating the times taken for work associated with prescribed work codes for products associated with prescribed product type numbers (101), and if the extracted features of a per-product-type-number and per-work-code work time distribution have distribution features defined in a work-time definition library 203, work-time definition data defining a per-product-type-number and per-work-code work time is created according to an algorithm defined in the work-time definition library in accordance with the distribution features (102).

Abstract: A sensor data correction system, includes: a standard motion mechanism unit for performing a standard motion of a wearable sensor; a determination unit calculating a relationship between first sensor data that is sensed by a first wearable sensor provided with the standard motion mechanism unit and second sensor data that is sensed by a second wearable sensor provided with the standard motion mechanism unit; and a correction unit correcting the first sensor data or the second sensor data, on the basis of the relationship that is calculated by the determination unit.

Abstract: An operation motion is accurately determined in an operational information management system. The system includes a motion verification portion that combines and verifies plurality of pieces of sensor information and recognizes a specific body motion, a signal determination portion that determines whether an operation content of an operator is correctly performed based on the body motion recognized by the motion verification portion, and a report portion that reports a determine result of the signal determination portion.

Abstract: A sensor-net system for digitizing a relationship between persons in an organization includes plural terminals and a processor for processing data received from those terminals. Each of the terminals includes a sensor for sensing a physical amount and a data sender for sending data denoting the physical amount sensed by the sensor. The processor calculates a value denoting a relationship between a first terminal wearing person and a second terminal wearing person according to the data received from the first and second terminals.

Abstract: According to an embodiment of the preset invention, in a sensor terminal that is worn by a person, and detects that respective wearers face each other by the aid of an optical communication, a plurality of optical transmit/receive units each having at least one of a transmission unit that emits the light to transmit data, and a reception unit that receives the light to receive the data is arranged within the housing, and the plurality of optical transmit/receive units is arranged so that light emission axes of the transmission units, or extension lines of light detection axes of the reception units approaches each other.

Abstract: It is provided a communication support device, which analyzes communications among a plurality of persons who belong to an organization, comprising a recording module for storing data that indicates the communications among the plurality of persons, a network constructing module for constructing a network structure of the plurality of persons from the data that indicates the communications, a improvement candidate determining module for identifying a first person whose communication is to be improved from the data that indicates the communications, and a connection candidate determining module for identifying a second person and a third person who can help increase triangle structures around the identified first person in the network structure, based on the network structure. The communication support device outputs display data for prompting the second person and the third person to communicate with each other.

Abstract: According to an embodiment of the preset invention, in a sensor terminal that is worn by a person, and detects that respective wearers face each other by the aid of an optical communication, a plurality of optical transmit/receive units each having at least one of a transmission unit that emits the light to transmit data, and a reception unit that receives the light to receive the data is arranged within the housing, and the plurality of optical transmit/receive units is arranged so that light emission axes of the transmission units, or extension lines of light detection axes of the reception units approaches each other.

Abstract: An analysis sever capable of performing analysis among a large amount of sensor data in order to obtain an analysis result that a reader desires and outputting the result instantaneously. The analysis server rearranges the sensor data acquired from a sensor node into time series data. The analysis is performed separately for time trigger analysis (D) and for event trigger analysis (F) depending on analysis contents. In the time trigger analysis (D), analysis processing that is basically needed when visualizing a state of an organization is performed. In the event trigger analysis (F), an analysis result obtained by the time trigger analysis (D) is processed using the reader's desired information and is outputted.

Abstract: A state control system comprises a portable terminal and a control apparatus. The portable terminal sends a signal including identification information to an external. The control apparatus controls a controlled object in either one of a locked state and an unlocked state based on the signal sent from the portable terminal. The portable terminal sends a first signal, in a case where a event detector has not detected the event, and sends a second signal having a data length longer than a data length of the first signal, in a case where the event detector has detected the event. The control apparatus controls a controlled object to the unlocked state in a case where the controlled object is in the locked state and the controlled apparatus receives the second signal.

Abstract: An analysis sever capable of performing analysis among a large amount of sensor data in order to obtain an analysis result that a reader desires and outputting the result instantaneously. The analysis server rearranges the sensor data acquired from a sensor node into time series data. The analysis is performed separately for time trigger analysis (D) and for event trigger analysis (F) depending on analysis contents. In the time trigger analysis (D), analysis processing that is basically needed when visualizing a state of an organization is performed. In the event trigger analysis (F), an analysis result obtained by the time trigger analysis (D) is processed using the reader's desired information and is outputted.

Abstract: A sensor-Net system includes sensor nodes which are in intermittent operation so as to save power by repeating activated state and inactivated state at a regular interval. Synchronization of time in the system is executed by aligning to the intermittent operation of the sensor nodes. A management server issues a setTime command for configuring the time to each gateway node at a specified interval. Each router node sets or corrects the time of it based on the time received from the gateway node and thereafter turns ON the time configuration flag for each sensor node in order to expand the setTime command to all of its sibling sensor nodes. The router node, upon reception of a polling, which is a command request, from the sensor node, obtains the time at that time, then uses the time to generate a setTime command to transmit to that sensor node.

Abstract: It is provided a communication support device, which analyzes communications among a plurality of persons who belong to an organization, comprising a recording module for storing data that indicates the communications among the plurality of persons, a network constructing module for constructing a network structure of the plurality of persons from the data that indicates the communications, a improvement candidate determining module for identifying a first person whose communication is to be improved from the data that indicates the communications, and a connection candidate determining module for identifying a second person and a third person who can help increase triangle structures around the identified first person in the network structure, based on the network structure. The communication support device outputs display data for prompting the second person and the third person to communicate with each other.

Abstract: By individuals in an organization possessing a portable node and acquiring sound information, an electronic device and a system that analyze human behavior, group formation, and an activity level of the organization and a system is provided. In an electronic device that has a radio communication unit and a microcomputer, sound is converted into an electrical signal by a microphone, and sound waveform information and characteristic information of sound are obtained using an amplifier, a filter, and an envelope generating circuit. An envelope signal being characteristic information of sound is compared with a reference value by a comparator. Characteristic information of sound when the signal does not reach the reference value, and sound waveform information when greater than the reference value are transmitted from the radio communication unit. The server learns human behavior, group formation; and an activity level of an organization by receiving and analyzing these pieces of information.

Abstract: A network system including: a first sensor device which includes a first sensor unit which detects an action of a detection object; and a first transmission unit which transmits first data regarding the action and first identification information to a server via a first base station: a second sensor device which includes; a second sensor unit which obtains sensing data; and a second transmission unit which transmits second data including the sensing data and second identification information to the server via a second base station; wherein the server is configured to: associate the first and second data based on the detection of the action; to access predetermined normal data correlating data; and, detect an abnormal condition if a combination of the action detected via the first sensor unit and the sensing data obtained by the second sensor unit conflict with the correlated normal data.

Abstract: Face-to-face detection by infrared-ray communication is effective in grasping interaction between persons. However the problem here is that infrared rays have a high directivity and detection fails unless the persons face each other right in front. Sensor signals having a high directivity and sensor signals having a low directivity are obtained from a sensor terminal (TR) carried by a person. Firstly, information on relative position is obtained with a sensor (TRIR) of infrared rays or the like having a high directivity and an initial group is formed at an application server (AS). A feature amount such as sound that has a low directivity and can sense surrounding environmental information is extracted from among the terminals (TRs) belonging to the initial group by personal feature extraction (ASIF), correlation with terminals (TRs) not belonging to a group is obtained, and thereby whether or not those terminals (TRs) belong to an identical group is judged.

Abstract: Face-to-face detection by infrared-ray communication is effective in grasping interaction between persons. However the problem here is that infrared rays have a high directivity and detection fails unless the persons face each other right in front. Sensor signals having a high directivity and sensor signals having a low directivity are obtained from a sensor terminal (TR) carried by a person. Firstly, information on relative position is obtained with a sensor (TRIR) of infrared rays or the like having a high directivity and an initial group is formed at an application server (AS). A feature amount such as sound that has a low directivity and can sense surrounding environmental information is extracted from among the terminals (TRs) belonging to the initial group by personal feature extraction (ASIF), correlation with terminals (TRs) not belonging to a group is obtained, and thereby whether or not those terminals (TRs) belong to an identical group is judged.

Abstract: A network system including: a first sensor device which includes a first sensor unit which detects an action of a detection object; and a first transmission unit which transmits first data regarding the action and first identification information to a server via a first base station: a second sensor device which includes; a second sensor unit which obtains sensing data; and a second transmission unit which transmits second data including the sensing data and second identification information to the server via a second base station; wherein the server is configured to: associate the first and second data based on the detection of the action; to access predetermined normal data correlating data; and, detect an abnormal condition if a combination of the action detected via the first sensor unit and the sensing data obtained by the second sensor unit conflict with the correlated normal data.

Abstract: Face-to-face detection by infrared-ray communication is effective in grasping interaction between persons. However the problem here is that infrared rays have a high directivity and detection fails unless the persons face each other right in front. Sensor signals having a high directivity and sensor signals having a low directivity are obtained from a sensor terminal (TR) carried by a person. Firstly, information on relative position is obtained with a sensor (TRIR) of infrared rays or the like having a high directivity and an initial group is formed at an application server (AS). A feature amount such as sound that has a low directivity and can sense surrounding environmental information is extracted from among the terminals (TRs) belonging to the initial group by personal feature extraction (ASIF), correlation with terminals (TRs) not belonging to a group is obtained, and thereby whether or not those terminals (TRs) belong to an identical group is judged.