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Connecting Humans to Nature Through Technology

Authors: Realfsen, Lars Erik;

Connecting Humans to Nature Through Technology

Abstract

This thesis discusses and explores how we can connect humans to nature through technology, by measuring variables in trees and plants in a cheap, easy and controlled manner. A framework for connecting sensors and sensor hubs to different parts of nature has been provided. We present our choice of sensors and hubs, and how to connect them. We also examine the possibilities the measurement data provides, by researching opportunities to present the data to a wider audience. By creating a robot that can draw the data to a canvas, we have seen that people get exited by the measurements. Our research proves that contact between humans and nature is possible through technology. It also suggests that connecting humans to nature by making art with technology is exiting and makes people interested in the subject.

Country
Norway
Related Organizations
Keywords

arduino, IoT, sensor, robot, esp8266, drawing, 004

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green