Environment Dress is a smart dress that captures environment data to measure the aggressiveness around us and analysing how it affects our mood and behaviour.
This wearable dress is equipped with sensors to analyse questions such as variations in noise, temperature, atmospheric pressure, ultraviolet radiation or the amount of carbon monoxide present in our daily life. All this information will be transferred, via Bluetooth or open wifi networks, to a mobile phone connected to the Internet and it will generate a big database set up with the geolocated references collected. These data will be shown to the user wearing the smart dress, or to anyone connecting to the project’s web or app, through an “amiable” visualisation.
Once the data hosted in a server have been analysed, response profiles are generated. For instance, when the programme running on the server detects a very high level of ultraviolet radiation, or a high concentration on carbon monoxide in the dress, it will send back a resoponse to the user of the dress that will be visualised through changes in lighting, always dependent on the data collected. Thus, the one that wears the dress will be warned that something in the environment is disturbing him.
Enviroment Dress is a dress developed in open code, with free hardware and software. The projects website will host as well all the information needed for anyone to material needed to build one’s own dress.
Winning project of Next Things 2015 Conducta, a joint call by LABoral Centro de Arte & Telefónica I+D
Project Nominated at STARTS Prize'16. Ars Electronica. Linz. Austria. 2016
An artwork coproduced with Alberto Valverde
< Environment Dress 2.0
Transductor Sensorial >
María Castellanos has a degree and a doctorate in Fine Arts from the University of Vigo, Spain.
In her work, she investigates the body, specifically the perception and sensory deficiencies of human beings. She focuses on the hybridizations between cyborgs and wearables as a paradigm for the expansion of human sensory capabilities.
All rigths reserved. 2015