Dissertation/Thesis Abstract

Home automation using electroencephalogram signals
by Mishra, Abhishek, M.S., California State University, Long Beach, 2016, 47; 10196375
Abstract (Summary)

The current project presents the development and hardware implementation of a home automation system based on electroencephalogram (EEG) signals acquired through the NeuroSky Mindwave headset. The EEG signals, in conjunction with signals from infrared (IR) sensors, are processed and used to control the appliances connected to the system. The NeuroSky headset extracts raw EEG brain waves, which are processed and subsequently used to activate the appliances, through the activation signals transmitted by Bluetooth, whereas the IR sensors are used to detect the user’s presence in a particular room. Extensive testing demonstrates that the developed system is a feasible and reliable home automation alternative to more traditional methods.

Indexing (document details)
Advisor: Chassiakos, Anastasios
Commitee: Tran, Boi, Yeh, Hen-Guel
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 56/02M(E), Masters Abstracts International
Subjects: Electrical engineering, Computer science
Publication Number: 10196375
ISBN: 978-1-369-33941-3
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