An automatic conversation system is demonstrated. It has distinctive two features: 1) It has the ability to learn from conversation; 2) it has the ability to listen attentively.

We developed various objective evaluation systems using EEG. These systems can detect mental state (e.g., interest levels, concentration ratio, and drowsiness). We propose a future communication system by projecting the mental condition onto a head-mounted display.

We introduce our proposed human-activity-sensing systems using radio waves. The proposed sensing system can classify human activity. As a specific application of our system, we introduce the falling detection system that has been reported by many news and other media.

We introduce our non-contact biological sensing method without attaching any device. As an example, we demonstrate the method that can sense breathing and cardiac beat wirelessly.

In today’s Internet, when we want to retrieve content we need to specify the server that provides the content. However, we do not have to pay attention to the server’s location. We’re trying to realize a new content-centric network instead of machine-centric network.

Today’s Internet has multiple paths between a source and a destination. However, the routers choose a pre-determined path even when it is congested. Our software routers avoid choosing a congested path and utilize other paths for better packet forwarding.

Big data require a global sharing system for large files and relations among the files. Our global distributed storage system called Content Espresso realizes high access throughput, high reliability, and low storage cost. Our file-relation-sharing platform called Catalog enables users to notice hidden aspects of files and to discover related files from the aspects.

A service-oriented router (SoR) for achieving an information-based open innovation platform is demonstrated. You can experience future network services provided by the SoR, such as multi-site recommendation, viewing-rate-based Web search, phishing protection, registered information delivery, and smart grid applications.

In Kurihara City, Miyagi, we proposed a new smart community system by conducting experiments on 15 households’ HEMS and BEMS using several city facilities. In the demonstration, you can experience HEMS of this project and the relationship with information-based open innovation.

Our research focuses on human robot interaction (HRI). In this event, we display three robots with a demo: a mobile robot for communicating with users through gestures; a wearable avatar for telecommunication through streaming broadcast; and a movable display that promotes remote user gestures under telecommunication.

This study aims to support clerks in counter operations. Customers often come in groups. Therefore, the clerk has to pay attention to the interests of each customer and reach a conclusion that everyone can agree on. This system analyzes the gaze directions of customers to help the clerk recommend suitable items.

A digital signage system, which automatically improves its content so as to be more attractive to viewers, is proposed. The system learns the viewers’ attention points and their feelings towards the content through utilizing their involuntary behaviors, and evolutionarily produces attractive designs using a genetic algorithm.

The problems in a communication network are the increase of traffic, the increase in power consumption of the network device, and improve disaster tolerance. In order to solve these problems, we studied the technology of efficient resource allocation, accommodation the multiple services and the topology, and high availability lifeline service.

E3-DCN: Energy Efficient, and Enhanced-type Data Centric Network development project. In the E3-DCN project, DCN will be applied to a contents delivery network (CDN). To realize the energy efficient CDN, data delivery route in the E-DCN and data transmission method of the E-DCN should be optimized to reduce data transmission energy. The E3-DCN project will realize a CDN application on JGN-X.

We propose a new structure of electric power network whose generation and delivery systems are separated from each other. A third-party institution called EVNO manages multiple distributed energy sources comprehensively, and provides a virtual energy generation system. An efficient energy supply and demand system is achieved by M2M technology.

We developed a method for predicting next activity, for example, abnormal/dangerous behaviors avoidance and next activity recommendation. The objective is to predict human activities. In order to predict a next activity, the activity history database is analyzed by data mining. We applied Naïve Bayes classifier and the database of daily scenes.

In team sports games, players’ motion and ball trajectory are very essential for analyzing and understanding tactics of the teams. We developed a robust tracking method of sports video and realize deep understanding of players’ attention and team tactics.

There is a growing need for human sensing technologies in various scenes. We demonstrate novel sensing technologies for obtaining gaze and posture information of a target person and actual applications.

To attain super-realistic communication via a network, we are developing a new technology of thermal energy transformation for transmitting thermal sensation. We have succeeded in realizing transmission of warmth sensation based on simultaneous control of temperature and heat inflow using Peltier devices.

Super-embodiment is a novel concept for the enhancement of “perception and action” without physical transfer. We are developing a platform that treats integrated sensory information as new multimedia for enhancement of individual action.

We present recent studies on cooperative video streaming and trust-based security that consider the reputation of the path to deliver data in a mobile ad-hoc network. The goal of our studies is to build an efficient and secure network.

Advanced ICT exploiting our five senses mandates development of innovative hardware that seamlessly connects our senses with the environment. Our group is developing innovative micro-devices that include a wearable line-of-sight detection system and a tactile display by MEMS technology.