Title :
The development of a smart house system based on Brain-Computer Interface
Author :
Zhendong Luo;Shun Han;Feng Duan
Author_Institution :
Department of Intelligence Science and Technology, College of Computer and Control Engineering, Nankai University, No.94, Weijin Road, Tianjin, 300071, P.R. China
Abstract :
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.
Keywords :
"Control systems","Electroencephalography","Software","Androids","Humanoid robots","Brain-computer interfaces","Bluetooth"
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2015 IEEE International Conference on
DOI :
10.1109/ROBIO.2015.7418904