Transmission
Software Training
Sensors, Interfaces, and Interactive Machine Learning for Music
Master Sensors to Program Interactive Sound and Music Systems
salle Nono
Program
Tuesday
| Morning | Overview of different types of sensors, interfaces, and suppliers. The particular case of wireless sensors Hands-on exercises: use the programming environments Arduino and Energia |
| Afternoon | Hands-on exercises : master the basics of programming in Arduino and Energia, first simple examples of coding, uploading code towards the Arduino and R-IoT interfaces |
Wednesday
| Morning | Recuperation and processing of sensor data in Max (Arduino and R-Iots) Filtering (average, median filter, low pass filter) and normalization |
| Afternoon | Implementation of a mapping system Direct use of sensor data with simples sound processes. Synthesis control, playback of sound files |
Thursday
| Morning | Hands-on exercises: create a sonification system: physiological capture (heart beats, breathing) via sensors connected to the R-IoT interface, recuperation of data and sonification in Max |
| Afternoon | Introduction to the MuBu library and Gesture follower. |
Friday
| Morning | Theory: introduction to interactive "machine learning" with the Mubu for Max library allowing advanced applications for gesture and motion recognition. Presentation of examples of use in sonic and artistic projects (performance art) |
| Afternoon | Hands-on exercises: produce an example of a system with sensors connected to the R-OoT interface, learning, and recognition in Max with MuBu |