Living Environment Control System Utilizing Analysis of User Status by Biological Signals

Recently, human-centered technology development has been in the limelight. It reflects user characteristics as much as possible and considers the physical and psychological characteristics of humans, even their current emotional state. This paper describes the development of a living environment automatic control system that analyzes a user’s status through an EEG of biological signals and then intelligently controls the lighting, as well as the volume and selection of music. It appears to be utilized in a variety of fields. For example, there are intelligent apartments that provide a comfortable indoor environment as well as energy saving, light therapy, and sound therapy, which are used to treat conditions such as depression and somnipathy.