@article{eprints2613,
          author = {Giorgio Gnecco and Donald Glowinski and Antonio Camurri and Marcello Sanguineti},
          volume = {7},
         journal = {International Journal of Arts and Technology},
           pages = {316--338},
       publisher = {Inderscience},
           title = {On the detection of the level of attention in an orchestra through head movements},
          number = {4},
            year = {2014},
        abstract = {Results from a study of non-verbal social signals in an orchestra are presented. Music is chosen as an example of interactive and social activity, where non-verbal communication plays a fundamental role. The orchestra is adopted as a social group with a clear leader (the conductor) of two groups of musicians (the first and second violin sections). It is shown how a reduced set of simple movement features - head movements - can be used to measure the levels of attention of the musicians with respect to the conductor and the music stand under various conditions (different conductors/pieces/sections of the same piece).},
        keywords = {automated analysis; behavioural analysis; non-verbal behaviour; head ancillary gestures; levels of attention; orchestral behaviour; head movements; orchestras; non-verbal social signals; non-verbal communication; social groups; music conductors; musicians.},
             url = {http://eprints.imtlucca.it/2613/}
}