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Kim, Sung-Phil
Brain-Computer Interface (BCI) Lab
Research Interests
  • Brain-computer interface, Statistical Signal Processing, Neural Code, Neuromarketing

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Online home appliance control using EEG-Based brain-computer interfaces

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Title
Online home appliance control using EEG-Based brain-computer interfaces
Author
Kim, MinjuKim, Min-KiHwang, MinhoKim, Hyun-YoungCho, JeonghoKim, Sung-Phil
Issue Date
2019-09
Publisher
MDPI AG
Citation
ELECTRONICS, v.8, no.10, pp.1101
Abstract
Brain–computer interfaces (BCIs) allow patients with paralysis to control external devices by mental commands. Recent advances in home automation and the Internet of things may extend the horizon of BCI applications into daily living environments at home. In this study, we developed an online BCI based on scalp electroencephalography (EEG) to control home appliances. The BCI users controlled TV channels, a digital door-lock system, and an electric light system in an unshielded environment. The BCI was designed to harness P300 andN200 components of event-related potentials (ERPs). On average, the BCI users could control TV channels with an accuracy of 83.0% ± 17.9%, the digital door-lock with 78.7% ± 16.2% accuracy, and the light with 80.0% ± 15.6% accuracy, respectively. Our study demonstrates a feasibility to control multiple home appliances using EEG-based BCIs.
URI
https://scholarworks.unist.ac.kr/handle/201301/30744
URL
https://www.mdpi.com/2079-9292/8/10/1101
DOI
10.3390/electronics8101101
ISSN
2079-9292
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