Socially Aware Many-to-Machine Communication

• This reports describes the output of the project P5: Socially Aware Many-to-Machine Communication (M2M) at the eNTERFACE’12 workshop. In this project, we designed and implemented a new front-end for handling multi-user interaction in a dialog system. We exploit the Microsoft Kinect device for capturing multimodal input and extract some features describing user and face positions. These data are then analyzed in real-time to robustly detect speech and determine both who is speaking and whether the speech is directed to the system or not. This new front-end is integrated to the SEMAINE (Sustained Emotionally colored Machine-human Interaction using Nonverbal Expression) system. Furthermore, a multimodal corpus has been created, capturing all of the system inputs in two different scenarios involving human-human and human-computer interaction.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Publication and Content Type

ref (subject category)

kon (subject category)