Emotion-based automation of intelligent environments using brain-computer interface

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Intelligent environment aware of the user's mental states and able to react in order to influence these mental states, adapting the environment to help the user achieve his goals.

Emotion-based automation of intelligent environments using brain-computer interface
Project start:
1 July 2015
Project end:
1 July 2018
More info (PDF):
[[media: | pdf]]
Contact:
Maria Luiza Recena Menezes
Application Area:
Smart Environments

Involved internal personnel
Involved external personnel
Involved partners

Abstract

Through a combination of biosignals and environmental sensors, we aim to help the user relax and sleep, for exemple, depending on the time of the day and if he/she is laying on the bed. If the user is in this "wanting to sleep" context and his/hers biosignals detect anxiety and alertness, the environment would adapt maybe turning off the lights and using sounds from the brain drive theories in order to help him/her achieve a relaxed and sleepy mental state. With this project studies: - Ways to detect different mental states through biosignals, - Ways to use a combinations of environmental and bio-sensors to speculate what the user wishes to do at the environment, - How the environment can influence the individual's mental state, - New ways of passive interaction between the user and the environment, - How to put the "human in the loop" at controlling smart environments,

Together with Halmstad Energi och Miljö (HEM) AB, we will investigate methods for analyzing energy consumption data from smart electricity meters and other intelligent sensors distributed on the local grid. The overall goal of the project is to investigate both data-driven and knowledge-driven methods for predicting critical failures (blackouts), understanding the needs for routine maintenance, detecting deviations in usage and operations in order to support high quality, sustainable services. This project is part of the EIS industrial graduate school (IGS), jointly funded by HEM, the Knowledge Foundation, and Halmstad University. This project will also strengthen our collaboration with the Power Engineering Lab at Portland State University (PSU).