An Immersive Smart Home Control Method based on Consumer- grade Hybird BCI System
Authors: 
Xing Shen, Jiayi Mi, Ziyan Chu, Yunge Yang, Ning Cen, Can WangAuthors Info & Claims
Xing Shen, Jiayi Mi, Ziyan Chu, Yunge Yang, Ning Cen, Can WangAuthors Info & ClaimsPages 1708 - 1714
Abstract
With the development of the smart home system, there is a growing demand for immersive smart home systems. Brain Computer Interface (BCI) becomes an outstanding approach. However, many BCI devices are still in experiment stage due to its extremely high cost and complexity. In this paper, an approach of smart home control system using customer-grade Electroencephalogram (EEG) caps is proposed. This system collects several types of time domain EEG signals, which are transferred into spectrum domain signals. A method that can distinguish physical activities under brain control, such as biting, blinking, etc., is presented, which is based on the energy difference of those signals at different frequencies. Further, this system inherits the convenient, stable, and immersive features from BCI devices, while being extremely low cost. The method we propose is a useful exploration and progress in the practicality of brain-computer interfaces.
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Index Terms
- An Immersive Smart Home Control Method based on Consumer- grade Hybird BCI System
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Published In
October 2023
1809 pages
ISBN:9798400708305
DOI:10.1145/3650400
Copyright © 2023 ACM.
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Association for Computing Machinery
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Published: 17 April 2024
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EITCE 2023
EITCE 2023: 2023 7th International Conference on Electronic Information Technology and Computer Engineering
October 20 - 22, 2023
Xiamen, China
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