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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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.	吳邊,蘇煜,張劍慧,等.基于P300電位的新型BCI中文輸入虛擬鍵盤系統[J].電子學報,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,許敏鵬,明東,等.P300Speller中基于AdaBoost SVM的導聯篩選研究[J].儀器儀表學報,2012,33(5):985-990.
15.	蘇煜.基于SCF范式的在線P300腦機接口研究[D].杭州:浙江大學,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. 高上凱.神經工程與腦-機接口[J].生命科學,2009,21( 02):177-180.
2. 伏云發,王越超,李洪誼,等.直接腦控機器人接口技術[J].自動化學報,2012,38( 08):1229-1246.
3. 馬忠偉,高上凱.基于P300的腦-機接口: 視覺刺激強度對性能的影響[J].清華大學學報:自然科學版,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. 吳邊,蘇煜,張劍慧,等.基于P300電位的新型BCI中文輸入虛擬鍵盤系統[J].電子學報,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,許敏鵬,明東,等.P300Speller中基于AdaBoost SVM的導聯篩選研究[J].儀器儀表學報,2012,33(5):985-990.
15. 蘇煜.基于SCF范式的在線P300腦機接口研究[D].杭州:浙江大學,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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