m+m: A novel Middleware for Distributed, Movement based Interactive Multimedia Systems

Ulysses Bernardet, Thecla Schiphorst, Dhruv Adhia, Norman Jaffe, Johnty Wang, Michael Nixon, Omid Alemi, Jordon Phillips, Steve Dipaola, Philippe Pasquier

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Embodied interaction has the potential to provide users with uniquely engaging and meaningful experiences. m+m: Movement + Meaning middleware is an open source software framework that enables users to construct real-time, interactive systems that are based on movement data. The acquisition, processing, and rendering of movement data can be local or distributed, real-time or off-line. Key features of the m+m middleware are a small footprint in terms of computational resources, portability between different platforms, and high performance in terms of reduced latency and increased bandwidth. Examples of systems that can be built with m+m as the internal communication middleware include those for the semantic interpretation of human movement data, machine-learning models for movement recognition, and the mapping of movement data as a controller for online navigation, collaboration, and distributed performance.
Original languageEnglish
Title of host publicationMOCO '16
Subtitle of host publicationProceedings of the 3rd International Symposium on Movement and Computing
PublisherACM
Pages1-9
ISBN (Electronic)9781450343077
DOIs
Publication statusPublished - 5 Jul 2016
Event3rd International Symposium on Movement and Computing - Thessaloniki, GA, Greece
Duration: 5 Jul 20166 Jul 2016

Conference

Conference3rd International Symposium on Movement and Computing
Period5/07/166/07/16

Bibliographical note

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Keywords

  • Real-time interaction
  • middleware
  • movement

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