Brain control embedded system applications

Electroencephalography (EEG) was originally used for medical purposes by examining the brain’s electrical activity. However over the recent years, companies like Neurosky, Interaxon and Emotiv have been introducing their own commercial EEG headsets, allowing the general public to easily obtain their...

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Main Author: Tan, Mitchell Jia Jun
Other Authors: Dusit Niyato
Format: Final Year Project
Language:English
Published: 2018
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Online Access:http://hdl.handle.net/10356/75557
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-755572023-03-03T20:54:16Z Brain control embedded system applications Tan, Mitchell Jia Jun Dusit Niyato School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering Electroencephalography (EEG) was originally used for medical purposes by examining the brain’s electrical activity. However over the recent years, companies like Neurosky, Interaxon and Emotiv have been introducing their own commercial EEG headsets, allowing the general public to easily obtain their own EEG headset at a reasonable price of about less than US$1000. EEG headset are now more widely available and further developed to be used for other purposes, for instance to act as a brain-computer interface (BCI). One such example is as a gaming controller. For this project, the objective is to make use of user’s brain EEG signals to control household appliances. The project makes use of the Emotiv Insight, an entry level EEG headset to capture the EEG signals from the user’s brain. The headset will be connected wirelessly to a computer which is running the Universe Remote-Control application that I created. The application will process the signals from the headset to identify the mental commands triggered by the user’s mind and carry out the follow up actions as preconfigured by the user. With that, the user will be able to control different household appliances without requiring any physical movement but just by just picturing different thoughts in their mind. The system will be able to interact with the household appliances in 3 different ways, relay switches, IR LED and by using online service If This Then That (IFTTT). The relay switch is used for controlling simple electrical appliance such as a lamp or a fan by toggling the switch. The IR LED will be able to simulate as an IR remote control to send IR pulse signals to control electrical appliances with IR receiver such as a television set. The online service, IFTTT can be used to communicate to the Internet of Things (IoT) products around the house through Internet connection. For the system to make use of the relay switches and the IR LED, the Raspberry Pi is used to output using its GPIO pins. The Raspberry Pi will be connected to the computer via Bluetooth and listen for commands from the Universal Remote-Control application and execute accordingly. Together, the system will allow the user to control most electrical appliances using his/her mind which is useful for the elderly people or the disabled to reduce the need for them to move about at home. Bachelor of Engineering (Computer Engineering) 2018-06-04T02:03:36Z 2018-06-04T02:03:36Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75557 en Nanyang Technological University 56 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Tan, Mitchell Jia Jun
Brain control embedded system applications
description Electroencephalography (EEG) was originally used for medical purposes by examining the brain’s electrical activity. However over the recent years, companies like Neurosky, Interaxon and Emotiv have been introducing their own commercial EEG headsets, allowing the general public to easily obtain their own EEG headset at a reasonable price of about less than US$1000. EEG headset are now more widely available and further developed to be used for other purposes, for instance to act as a brain-computer interface (BCI). One such example is as a gaming controller. For this project, the objective is to make use of user’s brain EEG signals to control household appliances. The project makes use of the Emotiv Insight, an entry level EEG headset to capture the EEG signals from the user’s brain. The headset will be connected wirelessly to a computer which is running the Universe Remote-Control application that I created. The application will process the signals from the headset to identify the mental commands triggered by the user’s mind and carry out the follow up actions as preconfigured by the user. With that, the user will be able to control different household appliances without requiring any physical movement but just by just picturing different thoughts in their mind. The system will be able to interact with the household appliances in 3 different ways, relay switches, IR LED and by using online service If This Then That (IFTTT). The relay switch is used for controlling simple electrical appliance such as a lamp or a fan by toggling the switch. The IR LED will be able to simulate as an IR remote control to send IR pulse signals to control electrical appliances with IR receiver such as a television set. The online service, IFTTT can be used to communicate to the Internet of Things (IoT) products around the house through Internet connection. For the system to make use of the relay switches and the IR LED, the Raspberry Pi is used to output using its GPIO pins. The Raspberry Pi will be connected to the computer via Bluetooth and listen for commands from the Universal Remote-Control application and execute accordingly. Together, the system will allow the user to control most electrical appliances using his/her mind which is useful for the elderly people or the disabled to reduce the need for them to move about at home.
author2 Dusit Niyato
author_facet Dusit Niyato
Tan, Mitchell Jia Jun
format Final Year Project
author Tan, Mitchell Jia Jun
author_sort Tan, Mitchell Jia Jun
title Brain control embedded system applications
title_short Brain control embedded system applications
title_full Brain control embedded system applications
title_fullStr Brain control embedded system applications
title_full_unstemmed Brain control embedded system applications
title_sort brain control embedded system applications
publishDate 2018
url http://hdl.handle.net/10356/75557
_version_ 1759854913533247488