![]() ![]() The duration in the redraw function is how long the chart should take to transition from the original state to the new state.Īnimated Bar Chart 2 – Enter, Update, Exit.Redraw changes the height of all the bars to the new queue values. The setInterval function then calls redraw.The setInterval function shifts the queue of data one element off the start, and adds a new item at the end.setInterval is native to JavaScript, and allows timed events. BUT it is mostly the same as the static bar chart, so it’s a good example.A lunatic chart with no real life purpose!.By applying the data() operator to our selection, we join data items and DOM elements, in this case rectangles, with each other. Draw the axes, with an offset from the top of the container for the x axis.Place N data points axis ticks over the width and height of the chart. Generate some random data to populate the chart.Prototype for a VR project in the health and art therapy market.A part of an Introduction to D3 talk I gave at the Effective use of Scientific Visualisation workshop at the C3DIS conference. Networked live music with musicians from two countries (Japan/Taiwan) simultaneously.Īdaptive music composition driven interactively by real time 3D artificial intelligence. Networked live music with musicians from two countries (Japan/Canada) simultaneously. I developed an interactive reactive AI controlled rhythm section that responds to my playing dynamics in real time. Neurofeedback and Biofeedback “InnerActive” games.SynaesthAsia: Dynamic, Live Music/Visual Spectacular from Musicians in Two Countries.I’ve produced and performed at 1000+ events in SL and have learned a lot over this time in areas as varied as: Live Music has long been the “Killer App” of the SecondLife online social experience, acting as the glue that binds people to come together for shared experiences. Solo performances and collaborative live networked real time music jams with musicians around the planet. Smart soundtoys for early childhood brain trainingĪ long term action research project on networked virtual live streaming music performance, virtual experiences, and interfaces. You can read more about my music research here: Some screen shots are below, followed by a video that briefly explains both systems.Ĭheck out the video for a more in depth explanation. Affective computing – detected user emotions to drive system feedback via music mood matching.Potential uses of such as system are varied: More experimentation with noise generation algorithms to drive music generation.More parameters for randomization and variability.Object database containing seed compositions with metadata.I have extended them a little more with some added features such as: Generative music systems are a rich field of exploration, and the methods presented here are well known. In 2007 I produced 2 relaxation music albums each with 4 x 15 minute tracks using this system, mixed with ambient environment nature sounds from another generative system. Currently these are offline but I hope to redistribute them again sometime. Here is a track from Album #1: It was written in 2006 based on research work I did for my Music Masters degree in 2003, and I’m currently porting parts of it to C#/Unity & HTML5/WebAudio. The system is built with Java, and uses an open source synth ZynAddSubFX as the sound source. A random music generator using a variety of algorithms from a windchime emulator to stochastic noise.A generative controller that uses a hidden markov model to generate new compositions from a seed music database.The prototype has two generative music systems: By Paul Cohen | | 0 comments Algorithmic Music with seeded HMM and Stochastic NoiseĪ demonstration of a prototype generative music system using a variety of techniques from seeded HMM to stochastic noise. ![]()
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