Analysis System and Analysis Method

Patent metadata

Field	Value
Publication number	US-2016363607-A1
Application number	US-201615073925-A
Country	US
Kind code	A1
Filing date	Mar 18, 2016
Priority date	Jun 11, 2015
Publication date	Dec 15, 2016
Grant date	—

Abstract

An analysis system includes a storage module for storing a track indicating in time series a position of an individual that is moving as track data and for storing sensor data indicating in time series a measurement result of the individual by a sensor worn by the individual, a speed calculation module for calculating a speed index indicating a movement speed of the individual based on the track data, an index calculation module for calculating a behavior index indicating a movement intensity of the individual based on the sensor data, a similarity degree calculation module for calculating a degree of similarity between the speed index and the behavior index based on changes in time series of the speed index and the behavior index, and an association module for associating the track and the individual on which the sensor data has been measured based on the degree of similarity.

First claim

What is claimed is:

1 . An analysis system, comprising:
a storage module configured to store a track indicating in time series a position of an individual that is moving as track data, and store sensor data indicating in time series a measurement result of the individual by a sensor worn by the individual; a speed calculation module configured to calculate a speed index indicating a movement speed of the individual based on the track data; an index calculation module configured to calculate a behavior index indicating a movement intensity of the individual based on the sensor data; a similarity degree calculation module configured to calculate a degree of similarity between the speed index and the behavior index based on changes in time series of the speed index and the behavior index; and an association module configured to associate the track and the individual on which the sensor data has been measured based on the degree of similarity.

2 . The analysis system according to claim 1 , further comprising an input module configured to receive identification information comprising information for identifying the track and information for identifying an individual on which the sensor data has been measured,
wherein the speed calculation module is configured to calculate a speed index indicating a speed on a track identified based on the identification information, wherein the index calculation module is configured to calculate a behavior index of an individual identified based on the identification information, wherein the similarity degree calculation module is configured to calculate a degree of similarity between the speed index of the identified track and the behavior index of the identified individual, and wherein the association module is configured to associate the track and the individual on which the sensor data has been measured based on the degree of similarity between the speed index of the identified track and the behavior index of the identified individual.

3 . The analysis system according to claim 1 , further comprising a determination module configured to calculate, when a plurality of tracks and one individual have been associated, distances among the plurality of tracks to determine whether or not the plurality of tracks associated with the individual are suitable based on the distances,
wherein the association module is configured to change the individual to be associated with at least one of the tracks included in the plurality of tracks when it is determined by the determination module that the plurality of tracks associated with the individual are not suitable.

4 . The analysis system according to claim 3 ,
wherein the association module is configured to associate a first track and a second track with a first individual, wherein the determination module is configured to determine that the first track and the second track associated with the first individual are not suitable when a distance between the first track and the second track is equal to or more than a predetermined threshold, and wherein the association module is configured to identify, when it is determined that the first track and the second track associated with the first individual are not suitable, a second individual calculated as having a degree of similarity with the first track that is lower than the degree of similarity between the speed index based on the first track and the behavior index of the first individual, and change the individual to be associated with the first track to the second individual.

5 . The analysis system according to claim 1 ,
wherein the similarity degree calculation module is configured to:
calculate a plurality of first degrees of similarity between a speed index based on the track detected for a longest period of time and a plurality of behavior indices; and
calculate, when the plurality of first degrees of similarity are included in a predetermined range, a plurality of second degrees of similarity between a speed index based on the track detected for a second longest period of time and the plurality of behavior indices, and
wherein the association module is configured to associate the track detected for the second longest period of time and the individual on which the sensor data has been measured based on the plurality of second degrees of similarity.

6 . The analysis system according to claim 1 , further comprising a display module configured to associate the track and information indicating an individual associated with the track to generate screen data to be displayed in time series.

7 . An analysis method to be performed in an analysis system,
the analysis system comprising:
a processor; and
a storage module,
the analysis method comprising: storing, by the processor, a track indicating in time series a position of an individual that is moving as track data in the storage module, and storing sensor data indicating in time series a measurement result of the individual by a sensor worn by the individual in the storage module; calculating, by the processor, a speed index indicating a movement speed of the individual based on the track data; calculating, by the processor, a behavior index indicating a movement intensity of the individual based on the sensor data; calculating, by the processor, a degree of similarity between the speed index and the behavior index based on changes in time series of the speed index and the behavior index; and associating, by the processor, the track and the individual on which the sensor data has been measured based on the degree of similarity.

8 . The analysis method according to claim 7 , further comprising receiving, by the processor, as an input, identification information comprising information for identifying the track and information for identifying an individual on which the sensor data has been measured,
wherein the calculating of the speed index comprises calculating a speed index indicating a speed on a track identified based on the identification information, wherein the calculating of the behavior index comprises calculating a behavior index of an individual identified based on the identification information, wherein the calculating of the degree of similarity comprises calculating a degree of similarity between the speed index of the identified track and the behavior index of the identified individual, and wherein the associating of the track and the individual comprises associating the track and the individual on which the sensor data has been measured based on the degree of similarity between the speed index of the identified track and the behavior index of the identified individual.

9 . The analysis method according to claim 7 , further comprising calculating, by the processor, when a plurality of tracks and one individual have been associated, distances among the plurality of tracks to determine whether or not the plurality of tracks associated with the individual are suitable based on the distances,
wherein the associating of the track and the individual comprises changing the individual to be associated with at least one of the tracks included in the plurality of tracks when it is determined in the determining of the plurality of tracks that the plurality of tracks associated with the individual are not suitable.

10 . The analysis method according to claim 9 ,
wherein the associating of the track and the individual comprises associating a first track and a second track with a first individual, wherein the determining of the plurality of tracks comprises determining that the first track and the second track associated with the first individual are not suitable when a distance between the fir

Assignees

• Hitachi Ltd

Inventors

• Aihara Shimpei
• Tanaka Takeshi

Classifications

• G01S19/19

  Sporting applications · CPC title

• G01P3/68

  using optical means, i.e. using infrared, visible, or ultraviolet light (G01P3/80 takes precedence {; by reflection of waves G01S17/58}) · CPC title

• A61B5/015

  By temperature mapping of body part · CPC title

• A61B5/0022

  Monitoring a patient using a global network, e.g. telephone networks, internet · CPC title

• G01S17/87

  Combinations of systems using electromagnetic waves other than radio waves · CPC title