Visualization *of* dance & visualization *via* dance

dancing_infographics

[The above image is from the post “Math Dances: Imitating Data Visualization Techniques through Dance” as found on the blog information aesthetics. The video is by Tufts University applicant Amelia Downs. Thank you.]

We just submitted two student applications to ISEA2014 (in addition to my faculty application for “Debauched Kinesthesia” that I sent in December of 2013). The two pieces are “augmented” solos for two undergraduate dancers at UVU, Dixon Bowles and Mindy Houston. Both are wonderfully talented dancers and I’m fortunate to work with them.

The two pieces are of particular interest to me personally because they build on my other academic interest (i.e., the one that I’m paid money for), which is data and data visualization. The first piece is a visualization of the dance’s data. It’s slightly tongue-in-cheek but still neat, especially as it all happens while the dancer is dancing. The second takes a different angle by making the dance itself the visualization of other data (in this case, a poem). The choreography is created to reflect the progression in the poem and then the visuals, which are recorded and looped live, are arranged in such a way as to magnify the structure and development.

Here are the official descriptions that we sent in with the applications. The first piece is Dixon’s.

The Dance and the Meta-Dance: Live Performance and Live Visualization

This proposal is for a live, solo dance performance that is augmented with video and motion tracking. The video and motion data are used for two live visualizations that are projected on each side of the dance. For the first projection or “meta-dance”, the video data is captured with a small web camera and is processed in Max/MSP/Jitter using the Cyclops object, which analyzes RGB data to allow for motion tracking in real-time. The resulting motion data are then used by the program to “evaluate” the performance on several criteria derived from Margaret H’Doubler’s web of principles of dance composition: Climax, Transition, Balance, Sequence, Repetition, Harmony, Variety and Contrast. These values are standardized and displayed as both streaming bar and radar charts as well time-series plots to highlight periodicity in the performance. For the second “meta-dance” projection, motion data from a Kinect depth camera are used to identify the three-dimensional coordinates of key body points in the dancer, such as head, shoulders, hands, and hips. These coordinates are then drawn on the screen as abstract ribbons or streams that rotate and fade over time, highlighting the temporality and abstractness of dance. Taken together, the live performer’s dance and the two “visual commentaries” or “meta-dances” offer multiple psychological and social realities on performative art. They also represent an initial step in the establishment of live visualization of dance-derived data as an art form in itself.

And the second piece is Mindy’s.

The Triple Fool + 2: A Performance for Poetry, Dance, and Data Visualization

This live dance performance is based on the poem “The Triple Fool” by John Donne (1572-1631), in which Donne complains that he is a fool in three ways: (1) for falling in love; (2) for “saying so in whining poetry,” and (3) for grieving again when his verse is put to music. This performance expands on Donne’s lament by expressing it in two other media: first in dance by a solo performer, which is recorded live with a small web camera and processed in Max/MSP/Jitter, and second by a data visualization of the poem’s text, which is revealed as the dance progresses, showing the relationships between the poem’s structures and ideas. The dance, however, serves a critical, additional function: the performance itself becomes a visualization of the text, as video clips of the performance (all of which are recorded live) are selected by the program and looped on two adjacent screens in such a way that the structure and relationships within the dance (as constructed by the live performer and the projected doubles) mirror those of the poem. That is, the dance is not just an kinesthetic, affective enactment but a visualization of the poem’s textual data. Thus, the dance performance and the data visualization become two additional means for exploring/compounding Donne’s grief, adding two additional “fools” to his original three.

We should find out by the end of March whether the performances are accepted. (And I should find out about mine in about two weeks.) We’re keeping fingers crossed.

Found Generative Art: Mac Launchpad Acting Up

Mac Launchpad acting up

This happened a few months ago and I have no idea what caused it, but one day my Mac’s Launchpad – you know, the hidden application launcher that makes your Mac look more like an iPhone – freaked out. The result was actually rather pretty. That’s it above, along with a picture below of what’s it’s basically supposed to look like. I consider it an example of found generative art (if there is such a thing.) Now I just have to figure out a way to do this kind of thing on purpose.

Bart's Launch Pad 1

Dance Loops accepted at UCUR, SoTE, and NCUR!

Acceptable

I mentioned in the last post that I had sent proposals from the Dance Loops project off to a few conferences, such as the Utah Conference on Undergraduate Research. We got accepted at both (!) and even at another one as an added bonus: UVU‘s Scholarship of Teaching and Engagement Conference (SoTE)!

And so we have three performances scheduled:

  • UCUR on 28 February 2014
  • SoTE on 28 March 2014
  • NCUR on 03-05 April 2014

“Debauched Kinesthesia” and “Dance Loops” Let Loose (Sort of)

Well, I’ve sent out conference applications for Dance Loops… finally. I’ve added a couple of extremely amateurish videos as vaguely supportive material. Mostly, they both just show that it’s possible to use the Kinect and Jitter to do some video recording and effects. I’d much rather have actual demonstration videos with the looping in place but, well, that takes more time and we’re still working on things. The first application is for the National Conference on Undergraduate Research (NCUR), which will meet at the University of Kentucky in April of 2014. That application uses the very exciting title of “Dance Loops: A Dance Performance with Live, Interactive Video Looping.” (At least it’s self-descriptive.) Here’s the video:

The other application is for ISEA2014, the 20th International Symposium on Electronic Art, which meets in Dubai (!) in November of 2014. That one gets a much more interesting title: “Debauched Kinesthesia: The Proprioceptive Remix.” Woo hoo! By the way, “debauched kinesthesia” has nothing to do with debauchery. Rather, it’s a term from the Alexander Technique, which my wife Jacque Bell teaches, that refers to the disconnect that many people have between what they think their body is doing and what it actually is doing. And “proprioceptive” because that refers to the sense of where your own body is and what it’s doing, and “remix” because the dancers will be able to rearrange and replay videos of their own dancing while they themselves are dancing. Very exciting! Anyhow, here’s the not-very-helpful video that accompanied that application:

So, we’ll see what happens. It may be that I get to travel across the country with a few students in April, and maybe even around the world later that year. I’ll let you know what happens!

Fun with Splines

I did these a little while ago in Processing but I love them. It’s just a grid of circles and splines that connect the centers at random. (These are Catmull-Rom splines, to be precise. They’re the same thing that I used for the projections in “Hello World.”) By clicking the arrow keys you can add more circles or more splines. If you want, you can download the Processing .PDE file here.

F# Minor: Brought to You by Ozzy Osbourne

Ozzy and Randy

It turns out that “Crazy Train” by Ozzy Osbourne is in F# minor. What?! (See Ozzy and his hardworking guitarist Randy Rhoads above). Here it is confirmed on MusicNotes.com.  Here’s what Wikipedia has to say about F# minor:

Very few symphonies are written in this key, Haydn’s Farewell Symphony being one famous example. George Frederick Bristow and Dora Pejačević also wrote symphonies in this key.

The few concerti written in this key are usually premiere concerti written for the composer himself to play, including Rachmaninoff’s Piano Concerto No. 1, Scriabin’s Piano Concerto, Wieniawski’s Violin Concerto No. 1, Vieuxtemps’s Violin Concerto No. 2, and Koussevitzky’s Double Bass Concerto.

In addition to the Farewell Symphony, Haydn’s Piano Trio No. 40 (Hob. XV:26) and String Quartet Op. 50, No. 4 are in F-sharp minor.

Mozart’s only composition in this key is the second movement to his Piano Concerto No. 23 in A major.

And, of course, Crazy Train.

Below are two video renditions.