Category: Eden Chinn

Posted on

Breathe IN/OUT, Float UP/DOWN

Devices that enhance meditative experiences in both remote and physical locations, acknowledging that meditation is a communal, multi-sensory practice.

Eden Chinn, Lucas Wozniak, Mee Ko, Rajshree Saraf,

https://youtu.be/DWl0pBt_lhw

Description

The user wears a belt with a stretch sensor attached, measuring the user’s breath. As the stretch sensor moves with the expansion of the chest, its data is recorded and utilized to manipulate remote and physical objects. There are two variations on this output for our project:

REMOTE/SERVER COMMUNICATION: Different people can wear breath sensors in different locations. Together, their breathing patterns create an output on p5. In our p5 sketch, the breathing is signified by a feather animation moving up and down. Both users' breathing patterns create this change collaboratively.

PHYSICAL INSTALLATION: The stretch sensor allows breath to become a controller that manipulates physical phenomena. An installation of yarn pompoms is suspended from a frame and moves in reaction to the wearer’s inhalation and exhalation.

Zoom link:
https://nyu.zoom.us/j/99001077668

p5 link:
https://editor.p5js.org/mnk2970/sketches/ylgyvcaia

ITPG-GT.2301.00008
Intro to Phys. Comp.
Art,Wearables
Posted on

Ripple Inside

Tell me your feeling, I hear, and I feel you.

Eden Chinn, Rui Shang

https://youtu.be/AsxloEstQ4U

Description

As humans, our existence is defined by different emotional states. When we feel an emotional impulse, it's like a ripple is dropped inside of us. This ripple flows outward and is reflected in how we perceive the world around us, as well as how we act within it.

For this project, we wanted to visualize emotional states using colors, shapes, and sounds in a poetic way.

The first thing we did is dividing all emotion words into 6 classifications: happy, content, sad, angry, shocked, afraid and then used p5.speech to recognize words instead of training words myself in the teachable machine because it’s far more accurate and for now this project can recognize over 110 emotion words.

We create a flowing 3d object and use sin() function to generate a beautiful ripple. More importantly, we generate multiple filters for one song in response to different emotions, and the amplitude of the song will affect the frequency of the ripple. For the visual part, we believe matching colors and custom shapes to different emotion words based on color and shape psychology could give people an immersive experience.

Tell me your feeling with one word.

I hear you, I feel you.

ITPG-GT.2048.00007
ICM – Media
Machine Learning,Music