Research of Controlling of Smart Home System Based on P300 Brain-computer Interface_Journal of Biomedical Engineering

Authors：

 WANGJinjia , YANGChengjie

School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China;

Corresponding author：

WANGJinjia, Email: wjj@ysu.edu.cn

Keywords：

brain-computer interface; P300; electroencephalogram; smart home; wireless radio frequency technology

DOI：

10.7507/1001-5515.20140142

Video：

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Abstract Full text Figures/Tables Video References Cited by

Using electroencephalogram (EEG) signal to control external devices has always been the research focus in the field of brain-computer interface (BCI). This is especially significant for those disabilities who have lost capacity of movements. In this paper, the P300-based BCI and the microcontroller-based wireless radio frequency (RF) technology are utilized to design a smart home control system, which can be used to control household appliances, lighting system, and security devices directly. Experiment results showed that the system was simple, reliable and easy to be populirised.

Citation： WANGJinjia, YANGChengjie. Research of Controlling of Smart Home System Based on P300 Brain-computer Interface. Journal of Biomedical Engineering, 2014, 31(4): 762-766. doi: 10.7507/1001-5515.20140142 Copy

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7.	吴边,苏煜,张剑慧,等.基于P300电位的新型BCI中文输入虚拟键盘系统[J].电子学报,2009,37(8):1733-1738,1745.
8.	HOFFMANN U, VESIN J M, EBRAHIMI T, et al. An efficient P300-based brain-computer interface for disabled subjects[J]. J Neurosci Methods, 2008, 167(1): 115-125.
9.	HOLZNER C, GUGER C, EDLINGER G, et al. Virtual smart home controlled by thoughts[C]//The 18th IEEE International Workshops on Enabling Technologies, Groningen, The Netherlands: 2009: 236-239.
10.	EDLINGER G, HOLZNER C, GUGER C, et al. Brain-computer interface for goal orientated control of a virtual smart home environment[C]//The 4th International IEEE/EMBS Conference on Neural Engineering.Antalya, Turkey: 2009: 463-465.
11.	EDLINGER G, GUGER C. A hybrid Brain-computer Interface for improving the usability of a smart home control[C]//IEEE International Conference Multimedia and Expo.Kobe, Japan: 2012: 182-185.
12.	LIN C T, LIN F C, CHEN S A, et al. EEG-based brain-computer interface for smart living environmental auto-adjustment[J]. J Med Biol Eng, 2010, 30(4): 237-245.
13.	OU C Z, LIN B S, CHANG C J, et al. Brain computer interface-based smart environmental control system[C]//20128th International Conference on IIH-MSP.Athens, Greece: 2012: 281-284.
14.	綦宏志,许敏鹏,明东,等.P300Speller中基于AdaBoost SVM的导联筛选研究[J].仪器仪表学报,2012,33(5):985-990.
15.	苏煜.基于SCF范式的在线P300脑机接口研究[D].杭州:浙江大学,2010:18-20.
16.	KRUSIENSKI D J, SELLERS E W, MCFARLAND D J, et al. Toward enhanced P300 speller performance[J]. J Neurosci Methods, 2008, 167(1): 15-21.
17.	SELLERS E W, KRUSIENSKI D J, MCFARLAND D J, et al. A P300 event-related potential brain-computer interface (BCI): the effects of matrix size and inter stimulus interval on performance[J]. Biol Psychol, 2006, 73(3): 242-252.

1. 高上凯.神经工程与脑-机接口[J].生命科学,2009,21( 02):177-180.
2. 伏云发,王越超,李洪谊,等.直接脑控机器人接口技术[J].自动化学报,2012,38( 08):1229-1246.
3. 马忠伟,高上凯.基于P300的脑-机接口: 视觉刺激强度对性能的影响[J].清华大学学报:自然科学版,2008,48(3):415-418.
4. GUGER C, DABAN S, SELLERS E, et al. How many people are able to control a P300-based brain-computer interface (BCI)?[J]. Neurosci Lett, 2009, 462(1): 94-98.
5. FINKE A, LENHARDT A, RITTER H. The Mind Game: a P300-based brain-computer interface game[J]. Neural Netw, 2009, 22(9): 1329-1333.
6. PÉREZ-MARCOS D, BUITRAGO J A, VELÁSQUEZ F D. Writing through a robot: a proof of concept for a brain-machine interface[J]. Med Eng Phys, 2011, 33(10): 1314-1317.
7. 吴边,苏煜,张剑慧,等.基于P300电位的新型BCI中文输入虚拟键盘系统[J].电子学报,2009,37(8):1733-1738,1745.
8. HOFFMANN U, VESIN J M, EBRAHIMI T, et al. An efficient P300-based brain-computer interface for disabled subjects[J]. J Neurosci Methods, 2008, 167(1): 115-125.
9. HOLZNER C, GUGER C, EDLINGER G, et al. Virtual smart home controlled by thoughts[C]//The 18th IEEE International Workshops on Enabling Technologies, Groningen, The Netherlands: 2009: 236-239.
10. EDLINGER G, HOLZNER C, GUGER C, et al. Brain-computer interface for goal orientated control of a virtual smart home environment[C]//The 4th International IEEE/EMBS Conference on Neural Engineering.Antalya, Turkey: 2009: 463-465.
11. EDLINGER G, GUGER C. A hybrid Brain-computer Interface for improving the usability of a smart home control[C]//IEEE International Conference Multimedia and Expo.Kobe, Japan: 2012: 182-185.
12. LIN C T, LIN F C, CHEN S A, et al. EEG-based brain-computer interface for smart living environmental auto-adjustment[J]. J Med Biol Eng, 2010, 30(4): 237-245.
13. OU C Z, LIN B S, CHANG C J, et al. Brain computer interface-based smart environmental control system[C]//20128th International Conference on IIH-MSP.Athens, Greece: 2012: 281-284.
14. 綦宏志,许敏鹏,明东,等.P300Speller中基于AdaBoost SVM的导联筛选研究[J].仪器仪表学报,2012,33(5):985-990.
15. 苏煜.基于SCF范式的在线P300脑机接口研究[D].杭州:浙江大学,2010:18-20.
16. KRUSIENSKI D J, SELLERS E W, MCFARLAND D J, et al. Toward enhanced P300 speller performance[J]. J Neurosci Methods, 2008, 167(1): 15-21.
17. SELLERS E W, KRUSIENSKI D J, MCFARLAND D J, et al. A P300 event-related potential brain-computer interface (BCI): the effects of matrix size and inter stimulus interval on performance[J]. Biol Psychol, 2006, 73(3): 242-252.

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Research of Controlling of Smart Home System Based on P300 Brain-computer Interface

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