We do not perceive the world how it really is, but as it is useful for us to perceive it.
dancetangomusic · In the "Tango-Danceability of Music in European Perspective” research project,...
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dancetangomusic.com Digital Movement: Computer-Aided Analysis of Human Motion The Case of Tango Argentino Christopher S. Dick ([email protected]) Optical Motion Capture equipment tracks markers attached to moving bodies. They are reconstructed in a 3D environment based on a given body model. The level of detail is within a few miliseconds in time and milimeter in the kinematic domain. MIR provides several established procedures that allow for detailed analysis of music in different domains. On particular aspect of interest for the project is the rhythm and its execution in regard to micro-timing. Motion Capture Music Information Retrieval Choreomusicology IR light reflection retroreflective marker camera ≡► ↓ ↓ establishing factors determining the relation of music and dance, applicable to both sides Example: Beat → statistical analysis of extracted qualitative feature time music (beat) dance (beat) new parameter: distance of beats in the two domains In the "Tango-Danceability of Music in European Perspective” research project, we try to learn how dancers perceive the music and implement their perception as dancing movement. For this, the analysis of human motion is a necessary part of understanding the moving body. In the case of Tango Argentino, the motional structures in question happen on such fine levels of granularity that new approaches for their analysis have to be developed and applied. This is where digital capturing technology and analytical methods come in as a research focus of this project. Introduction In the work on sound-movement interrelationship, we are using the theoretical approach proposed by choreomusicology. It suggests to describe the said relation not from only one of either of the two perspectives, but rather to understand one side in terms of the other. By relating the salient features of each domain, we can deduct new parameters that are the fundament for proposed theories on the studied relationship. By incorporating new state-of-the-art technologies in the analysis of the two entities, we are introducing new methodological modalities to make their way into the field of ethnochoreology. These offer valuable insights for further examination on a theoretical level, letting us understand cultural implications caused by the analyzed motion and sound structures. ARVIND, D. K., VALTAZANOS A., 2009, “Speckled Tango Dancers: Real-time Motion Capture of two-body Interactions using on-body Wireless Sensor Networks'”, in 6th Int. Workshop on Body Sensor Networks (BSN09), Berkeley, USA. DYER, S., MARTIN, J. & ZULAUF, J., 1995, Motion Capture White Paper , viewed 19 May 2016, from ftp://ftp.sgi.com/sgi/A%7CW/jam/mocap/MoCapWP_v2.0.html. FRANÇOISE, J., ROBY-BRAMI, A., RIBOUD, N. and BEVILACQUA F., 2015, “Movement Sequence Analysis Using Hidden Markov Models: a Case Study in Tai Chi Performance”,i n Proceedings of the 2nd International Workshop on Movement and Computing, Vancouver, Canada, pp. 29-36. MASON, P.H., 2012, ‘Music, dance and the total art work: choreomusicology in theory and practice’, Research in DanceEducation 13(1), 5–24. KIMMEL, M., PREUSCHL, E., 2015, 'Dynamic coordination patterns in tango argentino: A cross-fertilization of subjective explication methods and motion capture', In: Laumond J.-P. & Abe, N. (Eds.): Dance Notations and Robot Motion (Springer Tracts in Advanced Robotics collection), Berlin, 209-236. Outcome References
Transcript of dancetangomusic · In the "Tango-Danceability of Music in European Perspective” research project,...
dancetangomusic.com
Digital Movement: Computer-Aided Analysis of Human Motion The Case of Tango Argentino
Christopher S. Dick ([email protected])
Optical Motion Capture equipment tracks markers attached to moving bodies. They are reconstructed in a 3D environment based on a given body model.The level of detail is within a few miliseconds in time and milimeter in the kinematic domain.
MIR provides several established procedures that allow for detailed analysis of music in different domains. On particular aspect of interest for the project is the rhythm and its execution in regard to micro-timing.
Motion Capture Music Information Retrieval
Choreomusicology
IR light
reflection
retroreflective marker
camera
≡►
↓ ↓
establishing factors determining the relation of music and dance, applicable to both sides
Example: Beat
→ statistical analysis of extracted qualitative feature
timemusic (beat) dance (beat) new parameter: distance of beats in the two domains
In the "Tango-Danceability of Music in European Perspective” research project, we try to learn how dancers perceive the music and implement their perception as dancing movement. For this, the analysis of human motion is a necessary part of understanding the moving body. In the case of Tango Argentino, the motional structures in question happen on such fine levels of granularity that new approaches for their analysis have to be developed and applied. This is where digital capturing technology and analytical methods come in as a research focus of this project.
Introduction
In the work on sound-movement interrelationship, we are using the theoretical approach proposed by choreomusicology. It suggests to describe the said relation not from only one of either of the two perspectives, but rather to understand one side in terms of the other. By relating the salient features of each domain, we can deduct new parameters that are the fundament for proposed theories on the studied relationship.By incorporating new state-of-the-art technologies in the analysis of the two entities, we are introducing new methodological modalities to make their way into the field of ethnochoreology. These offer valuable insights for further examination on a theoretical level, letting us understand cultural implications caused by the analyzed motion and sound structures.
ARVIND, D. K., VALTAZANOS A., 2009, “Speckled Tango Dancers: Real-time Motion Capture of two-body Interactions using on-body Wireless Sensor Networks'”, in 6th Int. Workshop on Body Sensor Networks (BSN09), Berkeley, USA.
DYER, S., MARTIN, J. & ZULAUF, J., 1995, Motion Capture White Paper , viewed 19 May 2016, from ftp://ftp.sgi.com/sgi/A%7CW/jam/mocap/MoCapWP_v2.0.html.
FRANÇOISE, J., ROBY-BRAMI, A., RIBOUD, N. and BEVILACQUA F., 2015, “Movement Sequence Analysis Using Hidden Markov Models:a Case Study in Tai Chi Performance”,i n Proceedings of the 2nd International Workshop on Movement and Computing, Vancouver, Canada, pp. 29-36.
MASON, P.H., 2012, ‘Music, dance and the total art work: choreomusicology in theory and practice’, Research in DanceEducation 13(1), 5–24.
KIMMEL, M., PREUSCHL, E., 2015, 'Dynamic coordination patterns in tango argentino: A cross-fertilization of subjective explication methods and motion capture', In: Laumond J.-P. & Abe, N. (Eds.): Dance Notations and Robot Motion (Springer Tracts in Advanced Robotics collection), Berlin, 209-236.
Outcome
References
