Abstract | ||
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In order to improve the living conditions of the elderly and disabled people, we designed a smart house system based on non-invasive Brain-Computer Interface (BCI) Technology. This BCI system can open or close the curtain, turn a light switch on or off and control the air-conditioning. The extraction and recognition of EEG signals is fulfilled with Emotive device, while human interaction and fusion decision is processed with Android software. This BCI system sends a control signal to the Microcontroller Unit (MCU), and MCU is used to control the light, the motor rotation and the air-conditioning by Bluetooth. The entire BCI system combines two current hot research issues: 1) Smart House Technology, and 2) Brain-Computer Interface Technology. According to the experimental results, the control accuracy of the system without the flash screen is 24.67%, and the one with it is 84%. Therefore, the developed BCI system can achieve the design goal. This novel system helps to promote the development of smart house system. |
Year | Venue | Field |
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2015 | 2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO) | Android (operating system),Brain–computer interface,Human interaction,Software,Microcontroller,Engineering,Bluetooth,Smart house,Embedded system |
DocType | Citations | PageRank |
Conference | 1 | 0.36 |
References | Authors | |
1 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhendong Luo | 1 | 111 | 18.11 |
Shun Han | 2 | 4 | 1.80 |
Feng Duan | 3 | 87 | 27.49 |