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Microhabitat

A microhabitat is a virtual open-door to a tiny habitat that can be seen only through a microscope.

Jung Huh

https://vimeo.com/488923446

Description

A microhabitat is a virtual open-door to a tiny habitat that can be seen only through a microscope. It welcomes audiences to a tiny room of a person living in NYC. The tour is not as big and fancy as you see in many of YouTube's’ open doors. Comparing the size of the room to that of other open door videos, it may feel like looking into microscope slides where details are only visible via a microscope.

The work brings the housing problem the 20s and 30s are facing. Finding a habitat has become more difficult. The more you get close to the central part, such as NYC or Seoul, the more expensive rents get making it tougher to find a place, and the smaller the room becomes. However, no matter how small the room may be, there lives a person with their own unique story and a big dream.

The audience peeks into the small room of a person through a microscope that has two controllers. Using the knob on the right side, a stage controller, the audience can look around the room as it rotates the camera situated at the center of the microhabitat. Using the knob on the left side, coarse adjustment, the user can look into the details on specific objects located in the room. Each object contains a personal story of the person living there as if you see the product details of objects that YouTube has in one's open-door video.

Virtual Experience
https://editor.p5js.org/jhuh3226/present/ErsWzJ5mn

ITPG-GT.2301.00008, ITPG-GT.2048.00003
Intro to Phys. Comp., ICM – Media
Narrative/Storytelling,Social Good/Activism
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ITP Weather Band: Introduction

ITP Weather Band is an experimental band creating music, interactive objects, and visuals with weather data collected from a DIY weather station. Come meet the band and learn about our weather system.

Atchareeya Name Jattuporn, Lu Lyu, Cy Kim, Schuyler DeVos, Siyuan Zan, Sihan Zhang, Yiting Liu, Yeseul Song

https://youtube.com/playlist?list=PLivoY25uYfN_zJ3dkhvGiS7i4OoCJO5qt

Description

ITP Weather Band is an experimental band creating music, interactive objects, and visuals with weather data collected from a DIY weather station. We built a DIY weather station system and created experimental instruments that turn the environmental data into music and visuals. We explore new ways of delivering information and stories about our immediate environment through the auditory and visual sense. We’re growing into an open source project.

The band consists of faculties, alums, and graduate students at New York University’s Interactive Telecommunications Program (NYU ITP) and beyond. We started the weather station project in 2019 as a sub-group of ITPower and launched the band in January 2020.

See here for the details and full credits https://github.com/ITPNYU/weather-band.

We had a special collaborator, Yichan Wang (https://yichanwang.me/) pursuing her MFA in Design and Technology at Parsons School of Design, for the weather band website.

At the winter show 2020, we're introducing:

* ITP Weather Station System by ITP Weather Band
A DIY weather station system that posts data to the web to be accessed from anywhere in the world for creative projects.

* Weather Data Visualization Interfaces by Yiting Liu, Atchareeya Name Jattuporn, and Cy Kim
On this website, you get to see the visualization of all the data or select a specific part of data based on dates, id numbers, and categories.

* Weather Band Website by Yichan Wang (New School, visual system design) and Schuyler W DeVos (development).
A visual system and website with a graphical weather mobile that sensitively reacts to the real-time weather data.

* Weather Instruments made by the band members, including

Meteor Shower by Sihan Zhang
: A p5 sketch that generates a meteor shower scene and relaxing music using wind and rain data

Gust Sound by Lu Lyu (shown at a separate spot on Yorb)
https://itp.nyu.edu/shows/winter2020/2-5-miracle-and-gust-sound/

Leaf Dance by Siyuan Zan (shown at a separate spot on Yorb)
https://itp.nyu.edu/shows/winter2020/leaf-dance/

ITPG-GT.2808.001, ITPG-GT.2301.00004, ITPG-GT.99999.001
Understanding Networks, Intro to Phys. Comp., ITP Weather Band
Sound,Sustainability
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Equilibrium

Find the inner peace and present it physically by sound and light

Jezzy Zheng Lu

https://vimeo.com/491142330

Description

Equilibrium is a light and sound sculpture, using glass beads as the main medium to change light and sound through human breathing. Equilibrium is an experience and a self introspective journey. It invites the audience to take some time to get back in touch with themselves.

The interaction is as follow: First the FSR that is under the rug senses when a person sits down and keeps still, the time of flight sensor starts to detect the person’s breathing frequency by detecting the person’s chest fluctuations. The time of flight sensor picks up different distances within a given threshold between insufflation and inspiration, and this frequency is mapped into the range of LED and vibration motor, to change the brightness and vibration frequency. Different amplitude values cause the glass bead to change position, thereby changing the light path and creating sound through friction. Simultaneously, the servo continues to perform regular movements of up and down, allowing the glass beads to fall from a high place to a low place; repeating this process continuously, it produces a sound similar to wind/rain in nature. This white noise quality of the sound helps audiences gradually gain inner peace. On one hand, Equilibrium attempts to visualize the subtle change of human consciousness, giving it physical properties, from intangible to tangible. On the contrary, the attributes of light and sound are relatively abstract comparing to concrete objects.

Equilibrium's entire device is also pursuing a balance, whether it is the teeter-totter structure that keeps repetitive motion or the continuous and stable state of brightness and amplitude with the steady flow of human breathing.

ITPG-GT.2301.00008
Intro to Phys. Comp.
Sound,Art
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Prosthetic Biomagnetic

Enhance your perception dimension, no need to wait until 2077

Jingxi Guo

https://youtu.be/jFEUR7Vr76o

Description

I have always been interested in how the human body reacts to magnetic fields. I made an assumption about the biomagnetic field of the human body serval years ago. I thought that modern human's body (includes the brain) had the ability to sense the magnetic field from the earth as the other animal does. We had that ability when we were an infant. But nobody told us that there is a feeling of the magnetic field is the feeling of the magnetic field. As we grow, we lost the ability to recognize the ability, because without correct guidance.

This device is a wearable device. It detects the direction of the magnetic field through a magnetometer, and at the same time converts the direction of the magnetic field into vibration, which is transmitted to the user through the skin, allowing the user to distinguish the direction of the magnetic field through the vibration signal.

In terms of technology, I used Seeduino XIAO, a smaller Arduino board, and BNO-055 as my sensor. The current version uses an ordinary vibration motor. Before the start of the winter show, I might replace the motherboard on the back with a PCB board so that it will become smaller. Attach part uses flexible 3D printing materials.

ITPG-GT.2301.00008
Intro to Phys. Comp.
Wearables
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Star Machine

Catch a star and turn it into a star candy with the Star Machine✨

Sihan Zhang

https://youtu.be/6uFFp6LMZZA

Description

Experience the joy of catching a star with the Star Machine! When you stand in front of the Star Machine, the computer will track your right hand through webcam using the PoseNet machine learning model. If your hand position reaches a star on the projection, the star is “captured” and it will follow your hand. When you place the star inside the crystall ball of the Star Machine, the star will gradually disappear and a star candy will fall out.

ITPG-GT.2301.00005, ITPG-GT.2465.001
Intro to Phys. Comp., Machine Learning for the Web (Online)
Machine Learning,Play/Games