A Low-Cost EEG System-Based Hybrid Brain-Computer Interface for Humanoid Robot Navigation and Recognition

PLoS ONE

Volumn 8, Issue 9, 2013, Pages

  Choi, Bongjae ^a   Jo, Sungho ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BRAIN COMPUTER INTERFACE; COST; ELECTROENCEPHALOGRAM; EVENT RELATED POTENTIAL; EVOKED RESPONSE; EVOKED VISUAL RESPONSE; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; MALE; MENTAL TASK; NORMAL HUMAN; RECOGNITION; ROBOTICS; VISUAL FEEDBACK;

BRAIN-COMPUTER INTERFACES; ELECTROENCEPHALOGRAPHY; ILLUSIONS; REPRODUCIBILITY OF RESULTS; ROBOTICS; TIME FACTORS;

EID: 84883383832     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0074583     Document Type: Article

References (38)

1. Dornhege G, Millán Jdel R, Hinterberger T, McFarland D, Müller K-R (2007) Toward Brain-computer interfacing. Cambridge, MA: MIT Press.
2. McFarland D, Wolpaw J, (2002) Brain-computer interfaces for communication and control. Commun ACM 54: 60-66.
3. Campbell AT, Choudhury T, Hu S, Lu H, Mukerjee MK, et al. (2010) NeuroPhone: brain-mobile phone interface using a wireless EEG headset. In: Proc ACM SIGCOM workshop on Networking, Systems, and applications on mobile handhelds. 3-8.
4. Park J, Kim KE, Jo S (2010) A POMDP approach to P300-based brain-computer interfaces. In: Proc Int Conf on Intelligent User Interfaces (IUI) 1-10.
5. Turnip A, Hong K-S, Jeong M-Y (2011) Real-time Feature Extraction of EEG based P300 using Adaptive Nonlinear Principal Component Analysis. Biomed Eng Online 10(83).
6. Wolpaw JR, McFarland DJ, (2004) Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. In: Proc Nat'l Acad Sci (PNAS) 101(51): 17849-17854.
7. Chae Y, Jeong J, Jo S, (2012) Toward brain-actuated humanoid robots: asynchronous direct-control using an EEG-based BCI. IEEE Trans Robotics 28(4): 1131-1144.
8. Chae Y, Jeong J, Jo S (2011) Noninvasive brain-computer interface-based control of humanoid navigation. In: Proc of IEEE/RSJ Int Conf on Intell Rob & Syst.
9. Bell CJ, Shenoy P, Chalodhorn R, Rao RPN, (2008) Control of a humanoid robot by a noninvasive brain-computer interface in humans. J Neural Eng 5: 214-220.
10. Gao X, Xu D, Cheng M, Gao S, (2003) A BCI-based environmental controller for the motion-disabled. IEEE Trans Neural Syst & Rehabil Eng 11(2): 137-140.
11. Müller-Putz GR, Scherer R, Brauneis C, Pfurtscheller G (2004) Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components. J Neural Eng 2(4).
12. Allison B, Luth T, Valbuena D, Teymourian A, Volosyak I, et al. (2010) BCI demographics: how many (and what kinds of) people can use an SSVEP BCI? IEEE Trans Neural Syst & Rehabil Eng 18(2): 107-116.
13. Pfurtscheller G, Neuper C, Guger C, Harkam W, Ramoser H, et al. (2000) Current trends in Graz brain-computer interface (BCI) research. IEEE Trans Rehabil Eng 8(2): 216-219.
14. Pfurtscheller G, Brunner C, Schlögl A, Lopes da Silva FH, (2006) Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks. NeuroImage 31(1): 153-159.
15. Pfurtscheller G, Allison BZ, Brunner C, Bauernfeind G, Solis-Escalante T, et al. (2010) The hybrid BCI. Front Neurosci 4(30): 1-11.
16. Millán JD, Rupp R, Müller-Putz GR, Murray-Smith R, Giugliemma C, et al. (2010) Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges. Front Neurosci 4: 161.
17. Allison BZ, Leeb R, Brunner C, Müller-Putz GR, Bauernfeind G, et al. (2012) Toward smarter BCIs: extending BCIs through hybridization and intelligent control. J Neural Eng 9(1): 1-7.
18. Allison BZ, Brunner C, Altstätter C, Wagner IC, Grissmann S, et al. (2012) A hybrid ERD/SSVEP BCI for continuous simultaneous two dimensional cursor control. J Neurosci Meth 209: 299-307.
19. Li Y, Long J, Yu T, Yu Z, Wang C, et al. (2010) An EEG-based BCI system for 2-D cursor control by combining Mu/Beta rhythm and P300 potential. IEEE Trans Biomed Eng 57(10): 2495-2505.
20. Horki P, Solis-Escalante T, Neuper C, Müller-Putz G, (2011) Combined motor imagery and SSVEP based BCI control of a 2 DOF artificial upper limb. Med & Biol Eng & Comput 49(5): 567-577.
21. Long J, Li Y, Wang H, Yu T, Pan J, et al. (2012) A hybrid brain computer interface to control the direction and speed of a simulated or real wheelchair. IEEE Trans Neural Syst & Rehabil Eng 20(5): 720-729.
22. Pfurtscheller G, Solis-Escalante T, Ortner Linortner RP, Müller-Putz GR, (2010) Self-paced operation of an SSVEP-based orthosis with and without an imagery-based "brain switch": A feasibility study towards a hybrid BCI. IEEE Trans Neural Syst Rehab Eng 18(4): 409-414.
23. Leeb R, Sagha H, Chavarriaga R, Millán J R (2011) A hybrid brain-computer interface based on the fusion of electrocencephalographic and electromyographic activities. J Neural Eng 8.
24. Fazli S, Mehnert J, Steinbrink J, Curio G, Villringer A, et al. (2012) Enhanced performance by a hybrid NIRS-EEG brain computer interface. NeuroImage 59: 519-529.
25. Zander TO, Gaertner M, Kothe C, Vilimek R, (2011) Combining eye gaze input with a brain-computer interface for touchless human-computer interaction. Int J Hum-Comput Interact 27: 38-51.
26. Bryan M, Green J, Chung M, Chang L, Scherert R, et al. (2011) An adaptive brain-computer interface for humanoid robot control. In: Proc IEEE-RAS Int Conf on Humanoid Robots. Bled Slovenia.
27. Cohen O, Druon S, Lengagne S, Mendelsohn A, Malach R, et al. (2012) fMRI robotic embodiment: a pilot study. In: Proc IEEE RAS/EMBS Int Conf Biomed Rob & Biomech. Roma Italy.
28. http://world.honda.com/news/2009/c090331Brain-Machine-Interface-Technology/.
29. EmotivSystems. Emotiv- brain computer interface technology. http://emotiv.com.
30. Ranky GN, Adamovich S (2010) Analysis of a commercial EEG device for the control of a robot arm. In: Proc IEEE 36th Annual Northeast Bioeng Conf. 1-2.
31. Bobrov P, Frolov A, Cantor C, Fedulova I, Bakhnyan M, et al. (2011) Brain-computer interface based on generation of visual images. PLoS ONE 6(6): e20674.
32. Liu Y, Jiang X, Cao T, Wan F, Mak PU, et al. (2012) Implementation of SSVEP based BCI with emotive EPOC. In: Proc IEEE Int Conf Virtual Environ Human-Comput Int &Measurement Syst (VECIMS) 34-37.
33. Ramoser H, Muller-Gerking J, Pfurtscheller G, (2000) Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Trans Rehabil Eng 8(4): 441-446.
34. Chapelle O, (2007) Training a support vector machine in the primal. Neural Comput 19(5): 1155-1178.
35. Lotte F, Congedo M, Lécuyer A, Lamarche F, Arnaldi B, (2007) A review of classification algorithms for EEG-based brain-computer interfaces. J Neural Eng 4: R1-R13.
36. Bin G, Gao X, Yan Z, Hong B, Gao S, (2009) An online multi-channel SSVEP-based brain-computer interface using a canonical correlation analysis method. J Neural Eng 6: 046002.
37. Rivet B, Souloumiac A, Attina V, Gibert G, (2009) xDAWN algorithm to enhance evoked potentials: application to brain-computer interface. IEEE Trans Biomed Eng 56(8): 2035-2043.
38. Hoffmann U, Vesin JM, Ebrahimi T, Diserens K, (2008) An efficient p300-based brain-computer interface for disabled subjects. J Neurosci Meth 167(1): 115-125.