Res, a matter.

I need to be aware of the current state of research in music performance and analysis of biologic signals of a human body. Unlikely gestural control of music, which is widely explored by most of the worldwide sonic research center programs and international conferences, biological control of music seems to live in an overlooked niche.
I’ve collected several papers concentrating on three main areas of studies: gestural control of music, procedural audio in game sound design, biomedical engineering.
I found very useful such intensive lecture, it’s interesting to notice how many studies investigates a common topic in different context.
Below a non exhaustive list of references.

Gestural control of music:

  • Arfib, D., J. M. Couturier, L. Kessous, and V. Verfaille, ‘Strategies of mapping between gesture data and synthesis model parameters using perceptual spaces’, Organised Sound, 7 (2003) .
  • Doornbusch, Paul, ‘Composers’ views on mapping in algorithmic composition’, Organised Sound, 7 (2003) .
  • Fels, Sidney, Ashley Gadd, and Axel Mulder, ‘Mapping transparency through metaphor: towards more expressive musical instruments’, Organised Sound, 7 (2003) .
  • Goudeseune, Camille, ‘Interpolated mappings for musical instruments’, Organised Sound, 7 (2003) .
  • Hunt, Andy, and Marcelo M. Wanderley, ‘Mapping performer parameters to synthesis engines’, Organised Sound, 7 (2003) .
  • Levitin, Daniel J., Stephen McAdams, and Robert L. Adams, ‘Control parameters for musical instruments: a foundation for new mappings of gesture to sound’, Organised Sound, 7 (2003) .
  • Myatt, Tony, ‘Strategies for interaction in construction 3’, Organised Sound, 7 (2003) .
  • Ng, Kia, ‘Sensing and mapping for interactive performance’, Organised Sound, 7 (2003) .
  • Wessel, David, and Matthew Wright, ‘Problems and Prospects for Intimate Musical Control of Computers’, Computer Music Journal, 26 (2002), 11-22.

Procedural audio

Biomedical engineering:

  • Alves, Natasha, Ervin Sejdić, Bhupinder Sahota, and Tom Chau, ‘The effect of accelerometer location on the classification of single-site forearm mechanomyograms’, Biomedical Engineering Online, 9 (2010), 23 <doi:10.1186/1475-925X-9-23>;.
  • Esposito, Fabio, Emiliano Cè, Susanna Rampichini, and Arsenio Veicsteinas, ‘Acute passive stretching in a previously fatigued muscle: Electrical and mechanical response during tetanic stimulation’, Journal of Sports Sciences, 27 (2009), 1347 <doi:10.1080/02640410903165093>;.
  • Garcia, Marco Antonio Cavalcanti, Cláudia Domingues Vargas, Márcio Nogueira de Souza, Luis Aureliano Imbiriba, and Líliam Fernandes de Oliveira, ‘Evaluation of arm dominance by using the mechanomyographic signal’, Journal of Motor Behavior, 40 (2008), 83-89 <doi:10.3200/JMBR.40.2.83-89>;.
  • Silva, J., and T. Chau, ‘Coupled microphone-accelerometer sensor pair for dynamic noise reduction in MMG signal recording’, Electronics Letters, 39 (2003), 1496-1498 <doi:10.1049/el:20031003>;.
  • Watakabe, M., Y. Itoh, K. Mita, and K. Akataki, ‘Technical aspects of mechnomyography recording with piezoelectric contact sensor’, Medical & Biological Engineering & Computing, 36 (1998), 557-561 <doi:10.1007/BF02524423>;.