El proyecto 'Ciutat, territori, paisatge': un recurso innovador para la educación en el paisaje en la enseñanza secundaria = The project 'City, territory, countryside', an innovative resource for educating about the countryside in secondary education

The far-reaching, fast-moving changes –diffuse urbanisation, building infrastructure, moving away from agricultural space, etc.– suffered by the countryside in most European countries makes it important to have education about the countryside in place to help secondary students interpret their environment and assess the importance of managing the territory to achieve a medium ordered at human scale. The project «City, territory, countryside» is a set of materials for secondary level that aim for reflection on the countryside, work on basic competences and educating about civic-minded attitudes in students

Bowing the violin : a case study for auditory-motor pattern modelling in the context of music performance

This project addresses methodological and technological challenges in the development of multi-modal data acquisition and analysis methods for the representation of instrumental playing technique in music performance through auditory-motor patterning models. The case study is violin playing: a multi-modal database of violin performances has been constructed by recording different musicians while playing short exercises on different violins. The exercise set and recording protocol have been designed to sample the space defined by dynamics (from piano to forte) and tone (from sul tasto to sul ponticello), for each bow stroke type being played on each of the four strings (three different pitches per string) at two different tempi. The data, containing audio, video, and motion capture streams, has been processed and segmented to facilitate upcoming analyses. From the acquired motion data, the positions of the instrument string ends and the bow hair ribbon ends are tracked and processed to obtain a number of bowing descriptors suited for a detailed description and analysis of the bow motion patterns taking place during performance. Likewise, a number of sound perceptual attributes are computed from the audio streams. Besides the methodology and the implementation of a number of data acquisition tools, this project introduces preliminary results from analyzing bowing technique on a multi-modal violin performance database that is unique in its class. A further contribution of this project is the data itself, which will be made available to the scientific community through the repovizz platform.