As seen in the video, they are doing ok, although they are far from sitting still. Running the video through the Musical Gestures Toolbox for Python, it is possible to see when and how much they moved clearly.
Below is a quick visualization of the 11-minute long sequence. The videogram (similar to a motiongram but of the original video) shows quite a lot of motion throughout. There is no headbanging, but they do not sit still.
There are many good musical examples listed here. We should consider some of them for our next standstill championship. If corona allows, we plan to run a European Championship of Standstill in May 2022. More information soon!
The course starts on Monday (25 January 2021) and will run for six weeks. In the course, you will learn about the psychology of music and movement, and how researchers study music-related movements, with this free online course.
We developed the course 5 years ago, but the content is still valid. I also try to keep it up to date by recording new weekly wrap-ups with interviews with researchers around here at UiO.
I highly recommend joining the course on FutureLearn, that is the only way to get all the content, including videos, articles, quizzes, and, most importantly, the dialogue with other learners. But if you are only interested in watching videos, all of them are available on this UiO page and this YouTube playlist.
I am very happy to announce that the embargo on the book ran out today, which means that a pre-print version of my chapter is finally freely available in UiO’s digital repository. This chapter is a summary of my experiences with music-related motion analysis, and I often recommend it to students. Therefore it is great that it is finally available to download from everywhere.
This chapter presents an overview of some methodological approaches and technologies that can be used in the study of music-related body motion. The aim is not to cover all possible approaches, but rather to highlight some of the ones that are more relevant from a musicological point of view. This includes methods for video-based and sensor-based motion analyses, both qualitative and quantitative. It also includes discussions of the strengths and weaknesses of the different methods, and reflections on how the methods can be used in connection to other data in question, such as physiological or neurological data, symbolic notation, sound recordings and contextual data.
We have done several sound-tracing studies before at University of Oslo, and here is a new one focusing on free-hand sound-tracings of melodies. I am happy to say that this is a gold open access publication, and that all the data are also available. So it is both free and “free”!
In this paper, we report on a free-hand motion capture study in which 32 participants ‘traced’ 16 melodic vocal phrases with their hands in the air in two experimental conditions. Melodic contours are often thought of as correlated with vertical movement (up and down) in time, and this was also our initial expectation. We did find an arch shape for most of the tracings, although this did not correspond directly to the melodic contours. Furthermore, representation of pitch in the vertical dimension was but one of a diverse range of movement strategies used to trace the melodies. Six different mapping strategies were observed, and these strategies have been quantified and statistically tested. The conclusion is that metaphorical representation is much more common than a ‘graph-like’ rendering for such a melodic sound-tracing task. Other findings include a clear gender difference for some of the tracing strategies and an unexpected representation of melodies in terms of a small object for some of the Hindustani music examples. The data also show a tendency of participants moving within a shared ‘social box’.
I recently mentioned that I have been busy setting up the new MCT master’s programme. But I have been even more busy with preparing the startup of our new Centre of Excellence RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion. This is a large undertaking, and a collaboration between researchers from musicology, psychology and informatics. A visual “abstract” of the centre can be seen in the figure to the right.
Now we are recruiting lots of new people for the centre, so please apply or forward to people you think may be interested: