TY - GEN
T1 - Brain computer interface-based smart environmental control system
AU - Ou, Chien Zhi
AU - Lin, Bor-Shyh
AU - Chang, Che Jui
AU - Lin, Chin Teng
PY - 2012/10/11
Y1 - 2012/10/11
N2 - A Brain computer interface-based Smart Environmental Control System (BSECS) was proposed in this study. Many environmental control systems have been proposed to improve human life quality recently. However, few researches focused on environment control by using human's physiological state directly. Based on the advantage of our technique on Brain Computer Interface (BCI), we combined BCI technique with Universal Plug and Play (UPnP) home networking for smart house applications. Our BSECS mainly consists of a wireless physiological signal acquisition module, an embedded signal processing module, a Simple Control Protocol (SCP)/ Power Line Communication (PLC) environment controller, and a host system. Here, the physiological signal acquisition module and embedded signal processing module were designed for long-term electroencephalogram (EEG) monitoring and real-time cognitive state detection respectively. The advantages of low-power consumption and small volume of the above modules are suitable for smart house applications in daily life. The proposed BSECS has been verified in a practical demo room, and can be simply extended and integrated with the UPnP home networking for other applications.
AB - A Brain computer interface-based Smart Environmental Control System (BSECS) was proposed in this study. Many environmental control systems have been proposed to improve human life quality recently. However, few researches focused on environment control by using human's physiological state directly. Based on the advantage of our technique on Brain Computer Interface (BCI), we combined BCI technique with Universal Plug and Play (UPnP) home networking for smart house applications. Our BSECS mainly consists of a wireless physiological signal acquisition module, an embedded signal processing module, a Simple Control Protocol (SCP)/ Power Line Communication (PLC) environment controller, and a host system. Here, the physiological signal acquisition module and embedded signal processing module were designed for long-term electroencephalogram (EEG) monitoring and real-time cognitive state detection respectively. The advantages of low-power consumption and small volume of the above modules are suitable for smart house applications in daily life. The proposed BSECS has been verified in a practical demo room, and can be simply extended and integrated with the UPnP home networking for other applications.
KW - brain computer interface
KW - electroencephalogram
KW - power line communication
KW - simple control protocol
KW - smart house
KW - universal plug and play
UR - http://www.scopus.com/inward/record.url?scp=84867174023&partnerID=8YFLogxK
U2 - 10.1109/IIH-MSP.2012.74
DO - 10.1109/IIH-MSP.2012.74
M3 - Conference contribution
AN - SCOPUS:84867174023
SN - 9780769547121
T3 - Proceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2012
SP - 281
EP - 284
BT - Proceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2012
T2 - 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2012
Y2 - 18 July 2012 through 20 July 2012
ER -