Abstract:
An acquiring unit acquires information of the residence of one or more second users each having a second social media account related to a first user having a first social media account. An estimating unit estimates the residence of the first user from the information of the residence of the second user. A detecting unit detects a posting area at which the first user has posted on social media. A comparing unit compares the detected posting area with the estimated residence of the first user. A determining unit determines whether the posting area is an ordinary activity area or an extraordinary activity area for the first user based on the result of the comparison.
Abstract:
A system for monitoring event related data including a sensor data analyzer, an event analyzer and an actuator is disclosed. The sensor data analyzer detects events based on sensor data, the event analyzer couples to the sensor data analyzer and estimates the size of the detected entire events based on event related data of the detected events from the sensor data analyzer, and the actuator couples to the sensor data analyzer and the event analyzer and actuates a predetermined device based on the estimated size of the detected entire events.
Abstract:
A monitoring system can detect and react to abnormal events in real-time is disclosed. The system includes: a receiver that receives the event related data from a plurality of sensors; a coverage analyzer that analyses predetermined data and the event related data from the receiver, the predetermined data including sensor coverage information; and a sensor selector coupled to the coverage analyzer that selects one or more of the plurality of sensors based on the analysis by the coverage analyzer.
Abstract:
An analysis subject determination device includes: a demand period detection unit which detects, from data corresponding to audio of a dissatisfaction conversation, a demand utterance period which represents a demand utterance of a first conversation party among a plurality of conversation parties which are carrying out the dissatisfaction conversation; a negation period detection unit which detects, from the data, a negation utterance period which represents a negation utterance of a second conversation party which differs from the first conversation party; and a subject determination unit which, from the data, determines a period with a time obtained from the demand period utterance period as a start point and a time obtained from the negation utterance period after the demand utterance period as an end point to be an analysis subject period of a cause of dissatisfaction of the first conversation party in the dissatisfaction conversation.
Abstract:
An action analysis device includes: an acoustic analysis unit 1 for analyzing input acoustic information, and generating acoustic analysis information indicating a feature of the acoustic information; a time difference determination unit 2 for determining a time difference between when an acoustic event identified by the acoustic analysis information occurs and when an event corresponding to the acoustic event occurs in input video obtained by capturing an image of a crowd; and an action analysis unit 3 for analyzing an action of the crowd corresponding to the acoustic event, using the input video, the acoustic analysis information, and the time difference.
Abstract:
An assistance device (10) includes a personal information extraction unit (11) that extracts personal information being capable of discriminating a target user holding a target account, based on account information to be acquired from the target account in cyberspace, a position information extraction unit (12) that extracts position information related to the target user, based on the account information, and an output unit (13) that outputs the extracted personal information and the extracted position information as assistance information for assisting crime prevention around the position information in physical space.
Abstract:
A system for monitoring event related data including a sensor data analyzer, an event analyzer and an actuator is disclosed. The sensor data analyzer detects events based on sensor data, the event analyzer couples to the sensor data analyzer and estimates the size of the detected entire events based on event related data of the detected events from the sensor data analyzer, and the actuator couples to the sensor data analyzer and the event analyzer and actuates a predetermined device based on the estimated size of the detected entire events.
Abstract:
An account retrieval system (2) includes: a query generation apparatus (100) that generates an account name of a retrieval query based on input account information of an account; and an account collection apparatus (200) that retrieves, by using the retrieval query generated by the query generation apparatus (100), account information of an account name corresponding to the account name of the retrieval query from social media information.
Abstract:
A route display apparatus (10) according to the present disclosure includes: an acquisition unit (11) that acquires friend account information of a friend account that is connected online to an account of interest; a specification unit (12) that specifies a traffic site near an activity site of a friend user who uses the friend account based on the acquired friend account information; a calculation unit (13) that calculates an estimated movement route of a user of interest who uses the account of interest, the estimated movement route including the specified traffic site; and a display unit (14) that displays the calculated estimated movement route.
Abstract:
Estimation of the range of activities of a target user is enabled in a relatively narrow range. A target user whose location is to be calculated has an account in social media. An offline friend determination means (111) calculates an offline friendship level on the basis of friend information obtained from at least one social media account related to the target user. The offline friendship level is the degree of friendship in real space between the target user and the at least one social media account related to the target user. A friend weight calculation means (112) calculates a weight to be assigned to the friend information on the basis of the offline friendship level. A candidate location score calculation means (113) calculates a score representing the possibility of the target user being active at a candidate location on the basis of the friend information and the corresponding weight.