1. Noice Map
To continue my midterm project that focuses on the noise pollution, one serious problem in nowadays modern cities, processing can deal with the noise pollution in many ways. This noise map project intends to raise people’s intention of the noise pollution problem by alerting the audience the noise around them.
The noise map is a graphic representation of the sound level distribution in a certain area.
With processing, the noice map can be something more than a simple map with different colors, more graphs and animations can be added to it. Using sensors like sound sensor or loudness sensor, the Arduino can detect the noise level in a certain area. In this way, with realtime data, the processing can produce one type of new noise map with animations showing the realtime changes of the noise level.
Potential Audience: People who are suffering from the noise pollution and whoever is concerned with this serious social problem.
Limits and Difficulties: To detect the noise level in one area, multiple sensors might be needed. And the project might can’t adapt to different environment easily since sensors need to be relocated and the map also needs to alter.
2. Dancing Song
This project is about combining people’s movements, music and image together. With the different movements of the user, such as waving hands, walking around, different patterns of sound would be played. As the user moves around one certain area, part of his image would be shown on the screen. The more user moves, the more parts of the full image would appear. To get the whole image, the user has to play a piece of music using his/her own body.
This project is inspired by the phenomenon that nowadays many students and office workers would sit at their desks all day long, with headphones on and not having exercise at all. The interaction of this project could tell users to enhance exercise. Only by having enough exercise, the user can enjoy the music, which is created and performed by themselves.
Potential Audience: Students, office workers and people who stay indoor without enough exercise.
Limits and Difficulties: It would be hard to detect the different movements of the user using the Arduino sensors, those sensors might can’t precisely detect the user’s acts. Also, the amounts of music pieces, like sounds from different instruments are limited. The processing might use receive sounds from the outside in realtime. But the music produced with such might not be that fair-sounding.
3. Singing Weather
Inspired by the Weather Thingy by Adrien Kaeser (discussed in the final project research post). That is an interactive project which can produce with data come from realtime weather. The music would alter with the changing of the wind and rain. By shifting the input and output, here emerges a new interactive project that can detect the music and produce the corresponding weather. This project intends to alert people of the weather changes all around the world.
By detecting the beats, rhythm and other features of the music, the Arduino would input certain data to the processing, where the weather on the screen would alter according to changes in the music. With passionate music, there could have extreme weathers, and when the music is slow and quiet, the weather would also clam down to peace.
However, as the time goes on, the weather presented with be more severe even the music doesn’t change, indicating the weather changes now happening as more extreme weather takes place nowadays.
Potential Audience: People who concerns with the global weather changes as well as people who are fond of music and sound visualization.
Work Cited
Visnjic, Filip. “Weather Thingy – Real Time Climate Sound Controller”. Creativeapplications.Net, 2018, https://www.creativeapplications.net/sound/weather-thingy-real-time-climate-sound-controller/.