A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. If this prediction is to come true, then next generation ...

Accurate identification of sentence units (SUs) in spontaneous speech has been found to improve the accuracy of speech recognition, as well as downstream applications such as parsing. In recent multimodal investigations, gestur]al features were utilized,...

This paper describes an intelligent system that we developed to support affective multimodal human-computer interaction (AMM-HCI) where the user's actions and emotions are modeled and then used to adapt the HCI and support the user in his or her ...

This paper outlines the design of a distributed sensor classification system with abnormality detection intended for groups of people who are participating in coordinated activities. The system comprises an implementation of a distributed Dynamic ...

The availability of metadata annotations over media content such as photos is known to enhance retrieval and organization, particularly for large data sets. The greatest challenge for obtaining annotations remains getting users to perform the large ...

The aim of this paper is to clarify the relationship between the expressive strengths of gestures and voice for embodied and personified interfaces. We conduct perceptual tests using a puppet interface, while controlling singing-voice expressions, to ...

In this paper, we discuss a machine learning approach to automatically detect functional roles played by participants in a face to face interaction. We shortly introduce the coding scheme we used to classify the roles of the group members and the corpus ...

The availability of metadata annotations over media content such as photos is known to enhance retrieval and organization, particularly for large data sets. The greatest challenge for obtaining annotations remains getting users to perform the large ...