Inspiration

We were inspired by how artists create art pieces. We were inspired by how the relationship between human and machines.

What it does

As artists, designers, engineers, and students, we are interested in the future creation of art. So why human? Why the process of art creation won’t be replaced by a machine?

Through experimenting with neuron motion capture technology, we noticed the significant differences between human and machine in terms of their ways to react to the music. The human figure and landscape are created from the motion-capture of one of our teammate. The astronaut and the table are made from pre-generated movements.

Machines analyze sounds perfectly through frequency, tone, and amplitude with calculation. But human doesn't hear frequency. Instead, we hear joy, excitement, sorrow, and loneliness

Imperfect? Yes. But it is the unpredictability of human makes art fascinating. Human makes mistakes. But those happy accidents bring unexpected outcomes to the artwork. Machines, on the other hand, are designed for absolute perfection and efficiency with no true randomness. When machines are manufacturing art, men are creating art. This fundamental difference allows us to be the masters of art even in the far future when technology is more advanced.

How we built it

We used the Reception Neuron system to track the dancer. We mapped the dancer's movements to the environments by making them humanoid. We carefully set the color of the scene and place the surroundings to fully express the mood.

Challenges we ran into

We had troubles visualize the body motions from Perception Neuron tracking system in Unity. Design a clear and powerful visual language to make audiences can understand the limitation of AI and machine learning, and what is the art and emotion that only can be created by human beings.

Accomplishments that we're proud of

We learned how to use Unity. We create satisfied art pieces. We made a work from the scratch to a finished artwork in 12 hours. We are proud of the animations. We are proud of our team!

What we learned

We learned that team collaboration is important. We studied from our colleagues.

What's next for NeuronLandscape

We will be working on how to create a more refined model.

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