julesfrancoise.com
Jules | Jules Françoise
http://julesfrancoise.com/author/jules-francoise
PhD postdoc @ Simon Fraser University. GaussBox is a pedagogical tool for prototyping movement interaction using machine learning. GaussBox proposes novel, interactive visualizations that expose the behavior and internal values of probabilistic models rather than their sole results. Continue reading →. May 6, 2016. SoundGuides: Adapting Continuous Auditory Feedback to Users. SoundGuides is a user adaptable tool for auditory feedback on movement. Continue reading →. May 5, 2016. May 4, 2016. April 23, 2015.
julesfrancoise.com
GMM | Jules Françoise
http://julesfrancoise.com/tag/gmm
PhD postdoc @ Simon Fraser University. We released an open-source C library for continuous motion recognition and mapping, called XMM. XMM is a portable, cross-platform C library that implements Gaussian Mixture Models and Hidden Markov Models for recognition and regression. The XMM library was developed for movement interaction in creative applications and implements an interactive machine learning workflow with fast training and continuous, real-time inference. Continue reading →. April 23, 2015.
julesfrancoise.com
Software | Jules Françoise
http://julesfrancoise.com/category/software
PhD postdoc @ Simon Fraser University. GaussBox is a pedagogical tool for prototyping movement interaction using machine learning. GaussBox proposes novel, interactive visualizations that expose the behavior and internal values of probabilistic models rather than their sole results. Continue reading →. May 6, 2016. I developed a new external for Cycling’74. Max to connect with the Myo. Armband. Continue reading →. November 17, 2015. April 23, 2015. Leap Motion skeletal tracking in Max. November 7, 2014.
julesfrancoise.com
Mapping | Jules Françoise
http://julesfrancoise.com/tag/mapping
PhD postdoc @ Simon Fraser University. We released an open-source C library for continuous motion recognition and mapping, called XMM. XMM is a portable, cross-platform C library that implements Gaussian Mixture Models and Hidden Markov Models for recognition and regression. The XMM library was developed for movement interaction in creative applications and implements an interactive machine learning workflow with fast training and continuous, real-time inference. Continue reading →. April 23, 2015. Proje...
julesfrancoise.com
open-source | Jules Françoise
http://julesfrancoise.com/tag/open-source
PhD postdoc @ Simon Fraser University. We released an open-source C library for continuous motion recognition and mapping, called XMM. XMM is a portable, cross-platform C library that implements Gaussian Mixture Models and Hidden Markov Models for recognition and regression. The XMM library was developed for movement interaction in creative applications and implements an interactive machine learning workflow with fast training and continuous, real-time inference. Continue reading →. April 23, 2015.
julesfrancoise.com
Gaussian Mixture Regression | Jules Françoise
http://julesfrancoise.com/tag/gaussian-mixture-regression
PhD postdoc @ Simon Fraser University. SoundGuides: Adapting Continuous Auditory Feedback to Users. SoundGuides is a user adaptable tool for auditory feedback on movement. Continue reading →. May 5, 2016. We released an open-source C library for continuous motion recognition and mapping, called XMM. April 23, 2015. I am a postdoctoral fellow at the School of Interactive Arts and Technologies (SIAT). At Simon Fraser University ( SFU. In Vancouver. I am currently working on the MovingStories.
julesfrancoise.com
C++ | Jules Françoise
http://julesfrancoise.com/tag/c
PhD postdoc @ Simon Fraser University. We released an open-source C library for continuous motion recognition and mapping, called XMM. XMM is a portable, cross-platform C library that implements Gaussian Mixture Models and Hidden Markov Models for recognition and regression. The XMM library was developed for movement interaction in creative applications and implements an interactive machine learning workflow with fast training and continuous, real-time inference. Continue reading →. April 23, 2015.
julesfrancoise.com
PhD Thesis | Jules Françoise
http://julesfrancoise.com/phdthesis
PhD postdoc @ Simon Fraser University. 8220;Motion-Sound Mapping by Demonstration”. My PhD work focuses on developing the approach and computational models for Motion-Sound Mapping by Demonstration. The approach intersects the design principle of mapping through listening and interactive machine learning, to allow users to craft the mapping between motion and sound from movements performed while listening. I did my PhD in the {Sound Music Movement} Interaction. Supervised by Frédéric Bevilacqua. Chapter ...
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Movement | Jules Françoise
http://julesfrancoise.com/tag/movement
PhD postdoc @ Simon Fraser University. Motion-Sound Interaction through Vocalization. In this project, we investigate how vocalizations produced with movements can support the design of sonic interactions. We propose a generic system for movement sonification able to learn the relationship between gestures and vocal sounds, with applications in gaming, performing arts, and movement learning. Continue reading →. March 24, 2015. February 11, 2014. At Simon Fraser University ( SFU.
julesfrancoise.com
recognition | Jules Françoise
http://julesfrancoise.com/tag/recognition
PhD postdoc @ Simon Fraser University. We released an open-source C library for continuous motion recognition and mapping, called XMM. XMM is a portable, cross-platform C library that implements Gaussian Mixture Models and Hidden Markov Models for recognition and regression. The XMM library was developed for movement interaction in creative applications and implements an interactive machine learning workflow with fast training and continuous, real-time inference. Continue reading →. April 23, 2015.
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