CEATEC Exhibition: Kyoto University, University of Electro-Communications, and KDL to Exhibit a Demonstration Dubbed "Changing Lives! Data-Based Technology That Predicts the Future"

Image of future prediction using relationship metrics (Graphic: Business Wire)

CEATEC JAPAN 2014

KYOTO--()--Kyoto University (Associate Professor Ryoichi Shinkuma, Graduate School of Informatics), the University of Electro-Communications (Associate Professor Hiroyuki Kasai, Graduate School of Information Systems), and Kobe Digital Labo Inc. (Kazuhiro Yamaguchi, head of the Advanced Technology Development division) will exhibit their research results of a new future-predicting technology that uses 'relationship metrics'. The exhibit will take place at CEATEC JAPAN 2014 commencing on October 7, 2014.

Relationship metrics refer to data that quantifies the sense of distance between people, things, and places based on data from life loggers. Research has been underway since September 2011 through commissioned research dubbed "New generation network R&D program for innovative network virtualization platform and its application" The research has been commissioned by the National Institute of Information and Communications Technology (NICT), an independent administrative agency.

The highlight of this year's exhibition - themed "Changing lives! Data-based technology that predicts the future" - is a future-predicting application that uses actual TV broadcast usage data called TV metadata (*1) which is provided by M DATA Co, Ltd. The application makes predictions and visualizes the data using unique visuals based on the relationship metrics. Associate Professor Shinkuma, who originally conceptualized the technology, is scheduled to present an explanation of the technology, a commentary on future prospects, and results of verification based on actual data on October 8th and 10th from the Mini Stage.

Future-predicting application

This is an application that predicts relationship between people, things, and places by using relationship metrics. For this occasion, TV commercial broadcast usage data was selected for use from the TV metadata provided by M DATA Co, Ltd., who is also a member of MSSF (*2). Visitors can observe the relationships between companies, products, well-known entertainment personalities and such at a certain point in time, and compare the ensuing predictions with actual outcomes. Visitors can also gain first-hand experience of discoveries that may lead to new services, including 'changing people's impressions', and 'anticipating trends'.

Mini Stage

"Case examples of efforts in the practical application and performance verification of 'relationship technology' that predicts future events from all data surrounding daily lives"

Dates:   October 8 (Wed) 2014, 13:00 to 13:30
October 10 (Fri) 2014, 15:00 to 15:30
Location: University area Mini Stage
 

*1: What is TV metadata?
TV metadata is TV broadcast usage data provided by M DATA Co, Ltd.
24 hours a day, 365 days a year. M DATA creates TV metadata by examining television programming and commercial broadcast content from broadcasters in the regions of Tokyo, Nagoya, and Osaka, uniquely summarizing their results into "when," "where," "what," "how," and "how long (in seconds)," and then converting the data into text-based and database formats. http://mdata.tv/

*2: MSSF is the Mobile and Socialized Systems Forum (http://mssf.jp/en/)
This forum promotes commercial development with the goal of practical application of the technology. Currently, approximately 50 organizations participate.

Contacts

(Support in Japanese)
Kobe Digital Labo
Kazuhiro Yamaguchi, +81-78-327-2278
Advanced Technology Development division
k-yamaguchi@kdl.co.jp
or
(Support in English)
Kyoto University
Ryoichi Shinkuma, +81-75-753-3556
Graduate School of Informatics
shinkuma@i.kyoto-u.ac.jp

Contacts

(Support in Japanese)
Kobe Digital Labo
Kazuhiro Yamaguchi, +81-78-327-2278
Advanced Technology Development division
k-yamaguchi@kdl.co.jp
or
(Support in English)
Kyoto University
Ryoichi Shinkuma, +81-75-753-3556
Graduate School of Informatics
shinkuma@i.kyoto-u.ac.jp