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Gestures and utterances are useful factors in communication. A gesture or an utterance has different meanings depending on related objects, situation and so on. Authors aim that a system recognizes these interactions' meanings and provides a service considering related objects. Proposed system combines gesture recognition and speech recognition as multimodal interaction, and manages the database with...
This paper describes a robotic agent that can promote communication when people first meet. When two people meet for the first time, a communication mediator can be important because people often feel stressed and cannot talk comfortably. Our agent reduces their stress by using embodied entrainment and thus promotes communication. In the research field of embodied entrainment, suitable timing of a...
Gestures are useful factor in communication. A gesture has different meanings depending on related objects, situation and so on. Authors aim that a robot recognizes gesture meanings and provides a service considering related objects. Object position is one of the important factors for a robot to recognize a gesture. This paper focused on multimodal interaction between human and a robot to obtain object...
This paper proposes a remultiplex and scramble system for simultaneously redistributing digital broadcast signals, including HDTV video and data broadcasting, on an IP network. We also report an actual system implementing the proposed methods.
Recently, there are many studies on brain computer interface (BCI) system and some use EEG response at oddball paradigms. The aim of this paper is to extract feature (i.e. P300 response) from the EEG signals to improve the spelling system. We propose the method to analyze the averaged EEG signal concerned time and spatial. It is confirmed that the processing period with feature extraction is able...
In this paper, we propose adaptive control of robotic embodied entrainment to multi communication participants. That is based on communication activity measurement, and uses interaction timing learning which depends on nonverbal communication channels. Our mechanism selects an appropriate embodied robotic behavior, and increases the communication activity by changes of a speaker and a listener. For...
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