Eri Sato-Shimokawara

Developing a Robotic Service System by Applying a User Model-Based Application for Supporting Daily Life

We developed a robotic service system by applying a user model-based application for supporting daily life. Our robotic service system is designed to provide appropriate services to users depending on their needs; thus, we applied a user model-based application, which can help to select and filter user information for our system in order to provide appropriate services to users.

A cloud based chat robot using dialogue histories for elderly people

The authors developed cloud based chat robot for exhilarating elderly people. Our robot is designed to keep users from being bored. Conventional chat robot systems use huge phrase database in advance. However, fixed phrase involves an immense amount of time and effort to make. The proposed system uses dialogue histories which are collected from users. This paper reports the effect of updating the phrase database by using histories.

Interactive system for sharing objects information by gesture and voice recognition between human and robot with facial expression

This paper proposes a system that the robot with facial expression of the system shares information of objects by using Multimodal Interaction between human and robot. Multi-modal Interaction works by combining indicating and one word utterance which are the results of gesture recognition and voice recognition. According to the situation of the interaction, the robot expresses appropriate facial feelings. Proposed system obtains an objects place as three dimensional coordinates by indicating motion, and also obtains the objects name, color, and shape by one word utterance. Proposed system manages the objects by storing, deleting, and searching information of the objects. In this study, examinations showed the proposed system is effective.

Influence of approaching patterns of Telepresence Robot for personal space

The robot called “Telepresence Robot” is on business in recent years. However, the robot does not consider users personal space when the robot approaches the user. To better develop the system of the robot, here we study about how the robot approaches a user. The three factors was considered to influence the scope of the users personal space. The first factor is the position where the robot starts to decelerate when the robot approaches a user. The second factor is the method the robot decelerate. The final factor is pre-action by sound when the robot approaches a user. We verified those 3 factors, as a result, it was revealed that pre-action influenced personal space. By the appropriate approaching, the conversation between Telepresence Robot and human becomes natural and interactive.

Exercise Support Robotic System by Using Motion Detection

In this research, we propose an exercise support robotic system. The system collects human daily life activity data by motion detection as a part of big data, and analyzes it for providing better service. The Normal exercise tools such as pedometer need to be carried while exercising. However, sometimes people forget to take such exercise sensor, when it happened many times, people will feel hard to continue exercise regularly. Thus, the proposed system focuses on user’s behavior when exercise by Kinect, and based on it to recommends user a suitable exercise pattern through an interaction robot. Firstly, this paper discusses the user’s exercise habits and their weariness in exercise, secondly, describes the proposed system approach, the method of detecting human motion, and maintaining exercise motivation. Finally, the experiment and the results are shown.

Acquisition of the human characteristics through dialogue with a robot at home

Users life-logs include various and useful information. Life-logs can be used for health care and improve daily living recasting his/her daily life. Our aim is monitoring a users life for acquiring users life-logs. In previous research, life-logs is acquired using users GPS data or estimating daily activities. These methods are useful for estimation of what he/she did or where he/she went, however it is difficult to estimate users likes and tastes. Therefore, this paper focuses on the dialogue with the robot. In this research, the authors experiment to what feature can be acquired through dialogue with the robot for the acquisition of the users likes and tastes.

Exercise support system applying human-robot communication for mobile home

This paper presents a research to promote neighborly relation for disaster prevention by utilizing mobile home (it is called “Mobipo”) in usual day. Because of the experiences from aftermath of earthquake and seismic sea wave (Tsunemi), the disaster prevention is always the important theme. However, although the topic of reducing damage is important, the support system for people to reconstruct their life also cannot be ignored. The authors focus on promoting neighborly relation in daily life for disaster prevention, which reduce the stress during reconstruction process. We use an exercise support system with human-robot communication as a motive for people to visit Mobipo. The system encourages peoples healthy life and helps people get back to normal life from disaster.

The information providing system by using human motion recognition

This research presents a system that provides useful information by data mining. The system collects human motions to process data mining, and uses the result to detect human intention, and then provide service. The system includes three parts: the input devices part that is to collect data, the server part that is to analyze and process the data mining, and the client part that is to provide service. The way that set the devices on human to get motions always makes human feel uncomfortable. So, the authors consider using the cameras to get human movements rather than setting the devices on human. After collection the movement data, the data can be classed by the server part to find the motion data. And the motion data can be processed and analyzed to process data mining and find the results. And then, the result can be applied to show information on the mobile device or to use on other purposes. The system shows the possibility of applying the data mining to human motion to detect human intention. And the result can offer useful data to assist robotic system or show useful information to user.

Personal authentication based on buying history applying classification method

Recently, we have seen lot of problems including illegal access or credit use from computers or mobile phones and spoofing for them. Especially mobile phones have been confronting serious problems now that they have functions of wallet or credit card. Recognising the possibility of mobile crimes like spoofing, authors believe that many people are used to utilising these mobile functions. As for buying history, this will be accumulated into equipments in the future instead of receiving receipts. In our daily life, we have lot of opportunities to get receipts, which tend to represent our preference or lifestyle habit. So the authors propose a method to authenticate a person based on their buying history receipts applying classification methods when they use a buying system. This is also considered to be available for equipments which accumulate the buying history in them.

Robot Control Interface System Using Glasses-Type Wearable Devices

A hand gesture input interface system has been developed. Two kinds of hand gestures pointing and scrolling are able to be recognized from video images by glasses-type wearable devices camera. Using the system, it realized commanding to mobility robots by gestures in users sights. Introducing pointing gesture, the current pointing rate increase from clicking gesture.