Expressive Tangible Acoustic Interfaces Antonio Camurri, Corrado Canepa, and Gualtiero Volpe InfoMus Lab, DIST-University of Genova, Viale Causa 13, Genova, 16145, Italy The EyesWeb Framework For multimodal analysis and processing. Visual environment for design of applications. Input support for frame grabbers, wireless on- body sensors, audio and MIDI input, serial, network, standard input devices. Math and filters (e.g., operations with scalars and matrices). Imaging libraries (analysis, processing. and conversion of images and video). Sound and MIDI libraries. Support to industrial standards: DirectX, ASIO, VST, FEAPI, OSC, FreeFrame. Connection with Pure Data, Max/MSP, Kyma. SDK for custom extensions. Available for free at Expressive TAIs in EyesWeb Libraries for gathering and processing data from TAIs sensors. Libraries for localization of touching gestures. Expressive Gesture Processing Libraries for analysis of expressive qualities in gestures. The EyesWeb framework: an application for analysis of expressive gesture Applications InfoMus Lab is exploring possible exploitation of expressive TAIs in: interactive music, theatre, arts, therapy and rehabilitation, interactive edutainment, applications for museums, exhibits, and science centers (authoring), interactive entertainment, ambient intelligence, tools for teaching by playing and experiencing in simulated environments, tools for enhancing communication about new products or ideas in conventions and “information ateliers”. Example: the music theatre opera “Un avatar del diavolo” (composer Roberto Doati), performed at La Biennale, Venezia, Sept The opera includes a sensorized chair. Expressive gestures (e.g., caresses or tapping-like hand movement) of an actor on the chair control in real-time sound generation and processing. Tangible Acoustic Interfaces (TAIs) Objective: transforming physical objects (including everyday objects, e.g. tables or chairs), augmented surfaces, and spaces into tangible-acoustic embodiments of natural seamless unrestricted interfaces. Physical objects and space as media to bridge the gap between the virtual and physical worlds and to make information accessible through large size touchable objects and ambient media. TAIs exploit propagation of sound into physical objects in order to obtain information about where, when, and how an object is touched. TAIs are integrated in a multimodal perspective with other sensors (e.g., videocameras). Expressive Gesture Processing Analysis and processing of user’s movement and gestures for obtaining information related to the user’s affective\emotional state. Such information may include the way in which the user approaches a TAI: e.g., he/she can touch it in a soft and light way or in a hard and heavy way. Analysis is carried out with a multi-layered architecture: A first layer extracts information from video and audio signals and from sensor data. Then, algorithms are used for extracting expressive features characterizing gesture (e.g., energy, fluency, impulsiveness). Finally, the extracted values are fed to machine learning modules for associating an expressive characterization to gestures. Two examples of TAIs: a table running the Google Earth application and a sensorized chair The music theatre piece “Un Avatar del Diavolo” (composer R. Doati), La Biennale, Venezia, Sept The piece exploits TAI technologies (a sensorized chair). With the partial support of the EU-IST Project TAI-CHI (Tangible Acoustic Interfaces for Computer-Human Interaction)