MaxMSP中的GesturalSoundToolkit，用于简单快速的Gesture-to-Sound场景原型制作_M.zip

# Gestural Sound Toolkit V2 Toolkit in Max/MSP for gesture-to-sound scenario prototyping. ## Install Clone the repo: ``` git clone --depth=1 https://github.com/ircam-ismm/Gestural-Sound-Toolkit.git ``` The toolkit makes use of the MuBu lib developed by the ISMM team at IRCAM. This a Max/MSP library that is free avaaialble as Max Package (in the Package manager), or freely available at the Forum Ircam [https://forum.ircam.fr/projects/detail/mubu/](https://forum.ircam.fr/projects/detail/mubu/) (necessary to register to the IRCAM forum [spam-free]) THe MuBu package must be either copied in the Max Package folder, or referenced in the Files Preference: `Options > File Preferences > +` **Note for Windows' users**: you need to install Visual Studio 2015 Redistributable Package to have MuBu working! ## Credits V2 is a fork of the Gestural Sound Toolkit `https://github.com/bcaramiaux/Gestural-Sound-Toolkit` a Max library for the design of Embodied Sonic Interactions > V2 Contributors: > - STMS Lab IRCAM CNRS Sorbonne Université (Frédéric Bevilacqua, Riccardo Borghesi, Diemo Schwarz, Victor Paredes) > - ISIR Sorbonne Université (Baptiste Caramiaux,) > - LIMSI CNRS (Jules Françoise) > - University of York (Alessandro Altavilla) > V1 Contributors: > - AVI Group Goldsmiths College (Baptiste Caramiaux, Alessandro Altavilla) > - IRCAM-Centre Pompidou (Mubu: Riccardo Borghesi, Diemo Schwarz, Norbert Schnell, Frédéric Bevilacqua, Jules Françoise) > EAVI website: eavi.goldsmithsdigital.com, (c) 2015 EAVI Group, Goldsmiths College, University of London This toolkit has been designed and implemented in order to investigate research questions on sonic interaction design, and led to a publication at the CHI 2015 conference. If you use the toolkit in your research or teaching, please credit our work: Caramiaux, Baptiste, Altavilla, Alessandro, Pobiner, Scott and Tanaka, Atau. "Form Follows Sound: Designing Interactions from Sonic Memories". _In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems_. pp. 3943-3952. 2015 (http://dx.doi.org/10.1145/2702123.2702515) ## Acknowledgments V2: ELEMENT (ANR-18-CE33-0002), element-project.ircam.fr V1: GST has been developed as part of the MetaGestureMusic project, which received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. FP7-283771. Original authors: Baptiste Caramiaux, Alessandro Altavilla