[1] | Choudhury T, Pentland A (2003) Sensing and modeling human networks using the sociometer. In: Proc. the 7th IEEE International Symposium on Wearable Computers (ISWC2003). pp. 216–222.
|
[2] | Van Laerhoven K, Cakmakci O (2000) What shall we teach our pants? In: Wearable Computers, The Fourth International Symposium on. IEEE, pp. 77–83.
|
[3] | Aharony N, Pan W, Ip C, Khayal I, Pentland A (2011) Social fmri: Investigating and shaping social mechanisms in the real world. Pervasive and Mobile Computing 7: 643–659. doi: 10.1016/j.pmcj.2011.09.004
|
[4] | Brown B, Reeves S, Sherwood S (2011) Into the wild: challenges and opportunities for field trial methods. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, pp. 1657–1666.
|
[5] | Jensen B, Larsen JE, Jensen K, Larsen J, Hansen LK (2010) Estimating human predictability from mobile sensor data. In: Machine Learning for Signal Processing (MLSP), 2010 IEEE International Workshop on. IEEE, pp. 196–201.
|
[6] | Kwok R (2009) Personal technology: Phoning in data. Nature 458: 959. doi: 10.1038/458959a
|
[7] | Makeig S, Gramann K, Jung T, Sejnowski T, Poizner H (2009) Linking brain, mind and behavior. International Journal of Psychophysiology 73: 95–100. doi: 10.1016/j.ijpsycho.2008.11.008
|
[8] | Blankertz B, Tangermann M, Vidaurre C, Fazli S, Sannelli C, et al. (2010) The berlin brain-computer interface: non-medical uses of bci technology. Frontiers in Neuroscience 4. doi: 10.3389/fnins.2010.00198
|
[9] | Gramann K, Gwin J, Ferris D, Oie K, Jung T, et al. (2011) Cognition in action: imaging brain/body dynamics in mobile humans. Reviews in the Neurosciences 22: 593–608. doi: 10.1515/rns.2011.047
|
[10] | Yasui Y (2009) A brainwave signal measurement and data processing technique for daily life applications. Journal of Physiological Anthropology 28: 145–150. doi: 10.2114/jpa2.28.145
|
[11] | Luo A, Sullivan T (2010) A user-friendly ssvep-based brain-computer interface using a time-domain classifier. Journal of Neural Engineering 7: 026010. doi: 10.1088/1741-2560/7/2/026010
|
[12] | Konvalinka I, Roepstorff A (2012) The two-brain approach: how can mutually interacting brains teach us something about social interaction? Frontiers in Human Neuroscience 6. doi: 10.3389/fnhum.2012.00215
|
[13] | Dumas G (2011) Towards a two-body neuroscience. Communicative & Integrative Biology 4: 349–352. doi: 10.4161/cib.4.3.15110
|
[14] | Stahlhut C, Attias H, Stopczynski A, Petersen M, Larsen JE, et al.. (2012) An evaluation of EEG scanner's dependence on the imaging technique, forward model computation method, and array dimensionality. In: 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. pp. 1–4.
|
[15] | Chi Y, Wang YT, Wang Y, Maier C, Jung TP, et al. (2012) Dry and noncontact eeg sensors for mobile brain-computer interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering 20: 228–235. doi: 10.1109/tnsre.2011.2174652
|
[16] | Gramann K, Gwin JT, Bigdely-Shamlo N, Ferris DP, Makeig S (2010) Visual evoked responses during standing and walking. Frontiers in Human Neuroscience doi:10.3389/fnhum.2010.00202.
|
[17] | Gwin JT, Gramann K, Makeig S, Ferris DP (2010) Removal of movement artifact from high-density eeg recorded during walking and running. Journal of Neurophysiology doi:10.1152/jn.00105.2010.
|
[18] | Vi C, Subramanian S (2012) Detecting error-related negativity for interaction design. In: Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems. ACM, pp. 493–502.
|
[19] | Stopczynski A, Stahlhut C, Petersen MK, Larsen JE, Jensen CF, et al. (2013) Smartphones as pocketable labs: Visions for mobile brain imaging and neurofeedback. International Journal of Psychophysiology Available: http://dx.doi.org/10.1016/j.ijpsycho.201?3.08.007.
|
[20] | Delorme A, Makeig S (2004) Eeglab: an open source toolbox for analysis of single-trial eeg dynamics including independent component analysis. Journal of Neuroscience Methods 134: 9–21. doi: 10.1016/j.jneumeth.2003.10.009
|
[21] | Oostenveld R, Fries P, Maris E, Schoffelen J (2011) Fieldtrip: open source software for advanced analysis of meg, eeg, and invasive electrophysiological data. Computational Intelligence and Neuroscience 2011: 1. doi: 10.1155/2011/156869
|
[22] | Delorme A, Mullen T, Kothe C, Acar Z, Bigdely-Shamlo N, et al. (2011) Eeglab, sift, nft, bcilab, and erica: new tools for advanced eeg processing. Computational Intelligence and Neuroscience 2011: 10. doi: 10.1155/2011/130714
|
[23] | Renard Y, Lotte F, Gibert G, Congedo M, Maby E, et al. (2010) Openvibe: an open-source software platform to design, test, and use brain-computer interfaces in real and virtual environments. Presence: Teleoperators and Virtual Environments 19: 35–53. doi: 10.1162/pres.19.1.35
|
[24] | Schalk G, McFarland D, Hinterberger T, Birbaumer N, Wolpaw J (2004) Bci2000: a generalpurpose brain-computer interface (bci) system. IEEE Transactions on Biomedical Engineering 51: 1034–1043. doi: 10.1109/tbme.2004.827072
|
[25] | Brunner C, Andreoni G, Bianchi L, Blankertz B, Breitwieser C, et al. (2011) Bci software platforms. Towards Practical Brain-Computer Interfaces 303–331. doi: 10.1007/978-3-642-29746-5_16
|
[26] | Dtu compute neuro wiki. Available: http://neuro.compute.dtu.dk/wiki/Electro?encephalography#Data. Accessed 2013 Feb 27.
|
[27] | Ucsd publicly available eeg data. Available: http://sccn.ucsd.edu/?rno/fam2data/publicly available EEG data.html. Accessed 2013 Feb 27.
|
[28] | Swan M (2012) Sensor mania! the internet of things, wearable computing, objective metrics, and the quantified self 2.0. Journal of Sensor and Actuator Networks 1: 217–253. doi: 10.3390/jsan1030217
|
[29] | Debener S, Minow F, Emkes R, Gandras K, Vos M (2012) How about taking a low-cost, small, and wireless eeg for a walk? International Journal of Psychophysiology 49: 1617–1621. doi: 10.1111/j.1469-8986.2012.01471.x
|
[30] | Looney D, Kidmose P, Park C, Ungstrup M, Rank ML, et al. (2012) The in-the-ear recording concept: User-centered and wearable brain monitoring. Pulse, IEEE 3: 32–42. doi: 10.1109/mpul.2012.2216717
|
[31] | Moraveji N, Adiseshan A, Hagiwara T (2012) Breathtray: augmenting respiration self-regulation without cognitive deficit. In: CHI '12 Extended Abstracts on Human Factors in Computing Systems. New York, NY, USA: ACM, CHI EA '12, pp. 2405–2410. doi:10.1145/2212776.2223810. Available: http://doi.acm.org/10.1145/2212776.22238?10.
|
[32] | Poh M, Swenson N, Picard R (2010) A wearable sensor for unobtrusive, long-term assessment of electrodermal activity. IEEE Transactions on Biomedical Engineering 57: 1243–1252. doi: 10.1109/tbme.2009.2038487
|
[33] | Pantelopoulos A, Bourbakis N (2010) A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 40: 1–12. doi: 10.1109/tsmcc.2009.2032660
|
[34] | Poh M, McDuff D, Picard R (2011) Advancements in noncontact, multiparameter physiological measurements using a webcam. IEEE Transactions on Biomedical Engineering 58: 7–11. doi: 10.1109/tbme.2010.2086456
|
[35] | Baillet S, Garnero L (1997) A bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem. IEEE Transactions on Biomedical Engineering 44: 374–385. doi: 10.1109/10.568913
|
[36] | Phillips C, Rugg M, Friston K (2002) Anatomically Informed Basis Functions for EEG Source Localisation: Combining Functional and Anatomical Constraints. NeuroImage 16: 678–695. doi: 10.1006/nimg.2002.1143
|
[37] | H?m?l?inen M, Ilmoniemi R (1994) Interpreting magnetic fields of the brain: minimum norm estimates. Medical & Biological Engineering & Computing 32: 35–42. doi: 10.1007/bf02512476
|
[38] | Pascual-Marqui RD, Michel CM, Lehmann D (1994) Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. International Journal of Psychophysiology 18: 49–65. doi: 10.1016/0167-8760(84)90014-x
|
[39] | Congedo M, Lotte F, Lécuyer A (2006) Classification of movement intention by spatially filtered electromagnetic inverse solutions. Physics in Medicine and Biology 51: 1971–1989. doi: 10.1088/0031-9155/51/8/002
|
[40] | Noirhomme Q, Kitney R, Macq B (2008) Single-trial eeg source reconstruction for brain-computer interface. IEEE Transactions on Biomedical Engineering 55: 1592–1601. doi: 10.1109/tbme.2007.913986
|
[41] | Besserve M, Martinerie J, Garnero L (2011) Improving quantification of functional networks with eeg inverse problem: Evidence from a decoding point of view. NeuroImage 55: 1536–1547. doi: 10.1016/j.neuroimage.2011.01.056
|
[42] | Baillet S, Mosher J, Leahy R (2001) Electromagnetic brain mapping. IEEE Signal Processing Magazine 18: 14–30. doi: 10.1109/79.962275
|
[43] | Wolters C, Kostler H, Moller C, Hardtlein J, Grasedyck L, et al. (2007) Numerical mathematics of the subtraction method for the modeling of a current dipole in EEG source reconstruction using finite element head models. SIAM J Sci Comp 30: 24–45. doi: 10.1137/060659053
|
[44] | Hallez H, Vanrumste B, Grech R, Muscat J, De Clercq W, et al. (2007) Review on solving the forward problem in EEG source analysis. Journal of Neuroengineering and Rehabilitation 4: 46. doi: 10.1186/1743-0003-4-46
|
[45] | Drechsler F, Wolters C, Dierkes T, Si H, Grasedyck L (2009) A full subtraction approach for finite element method based source analysis using constrained Delaunay tetrahedralisation. NeuroImage 46: 1055–1065. doi: 10.1016/j.neuroimage.2009.02.024
|
[46] | Müller-Gerking J, Pfurtscheller G, Flyvbjerg H (1999) Designing optimal spatial filters for singletrial EEG classification in a movement task. Clinical Neurophysiology 110: 787–798. doi: 10.1016/s1388-2457(98)00038-8
|
[47] | Babiloni F, Cincotti F, Lazzarini L, Millan J, Mourino J, et al. (2000) Linear classification of low-resolution eeg patterns produced by imagined hand movements. IEEE Transactions on Rehabilitation Engineering 8: 186–188. doi: 10.1109/86.847810
|
[48] | Dornhege G, Blankertz B, Curio G, Muller K (2004) Boosting bit rates in non-invasive EEG single-trial classifications by feature combination and multi-class paradigms. IEEE Transactions on Biomedical Engineering 51(6): 993–1002. doi: 10.1109/tbme.2004.827088
|
[49] | Blankertz B, Dornhege G, Krauledat M, Muller K, Kunzmann V, et al. (2006) The berlin braincomputer interface: Eeg-based communication without subject training. IEEE Transactions on Neural Systems and Rehabilitation Engineering 14: 147–152. doi: 10.1109/tnsre.2006.875557
|
[50] | Litvak V, Mattout J, Kiebel S, Phillips C, Henson R, et al. (2011) Eeg and meg data analysis in spm8. Computational Intelligence and Neuroscience 2011 doi: 10.1155/2011/852961
|
[51] | Pfurtscheller G, Lopes da Silva F (1999) Event-related eeg/meg synchronization and desynchronization: basic principles. Clinical Neurophysiology 110: 1842–1857. doi: 10.1016/s1388-2457(99)00141-8
|