Ambient Intelligence

Research Staff

  • Prof. Norihiro Hagita

    Prof.
    Norihiro Hagita

  • Assoc.Prof. Masayuki Kanbara

    Assoc.Prof.
    Masayuki Kanbara

E-mail { hagita, ukita, kanbara }[at] is.naist.jp

Research Area

Ambient intelligence is a kind of intelligent environment and space corresponding to the real world, which helps and facilitates our daily life. Our lab aims to create core technologies of ambient intelligence for a safe, secure and comfortable life based on real-world sensing, knowledge structuring and interaction for humans.

Real-world sensing

In order to acquire real-world information for ambient intelligence development, information from actual scenes is collected by various sensors. Information about human behavior is essential for human life support using ambient intelligence platforms. Our laboratory is trying to analyze human behavior by integrating various kinds of data achieved through various measuring sensors installed in real environments.

Knowledge structuring

For a service robot to support human activity, it is necessary to structure knowledge of the environment (the position and behavior of humans, status of the actual area, etc.) in advance. This knowledge is structured from huge amounts of data through real-world sensing and information on the internet, utilizing analyzation with pattern recognition techniques and configuration structures, etc.

Interaction

Ambient intelligence provides users with appropriate multimodal interaction determined by structured knowledge in order to support users’ activities. Our laboratory is not only developing augmented reality interaction, which is an intuitive visual information display technique, but also Human-Robot Interaction (HRI), that can provide visual, audial and physical stimulus. User's reactions after the interaction are also observed to update the knowledge of the ambient intelligence.

Key Features

By cooperating with communication media and objects, like robots for human support, and providing useful and helpful information of the environment to these, ambient intelligence significantly contributes to novel and useful services. Additionally, due to our carrying out of user studies not only in experimental rooms at NAIST, but also at actual scenes such as shopping malls etc., the development of more practical and reliable services is expected.

Fig.1 Experimental environments: human and robot positions are measured using laser range fingers or invisible markers

Fig.1 Experimental environments: human and robot positions are measured using laser range fingers or invisible markers

Fig.2 Interaction Robots

Fig.2 Interaction robots

Fig.3 Human motion and behavior understanding in various scenarios

Fig.3 Human motion and behavior understanding in various scenarios

Fig.4 Examples of Human-Robot Interaction (HRI) research

Fig.4 Examples of Human-Robot Interaction (HRI) research