A fully-wearable non-invasive SSVEP-based BCI system enabled by AR techniques for daily use in real environment.
暂无分享,去创建一个
[1] Christian Laugier,et al. Controlling a Wheelchair Indoors Using Thought , 2007, IEEE Intelligent Systems.
[2] Jenq-Shiou Leu,et al. Implementation and analysis of Hybrid Wireless Indoor Positioning with iBeacon and Wi-Fi , 2016, 2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT).
[3] Xiaorong Gao,et al. An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method , 2009, Journal of neural engineering.
[4] Francesco Piccione,et al. User adaptive BCIs: SSVEP and P300 based interfaces , 2003, PsychNology J..
[5] Arne Robben,et al. Sampled sinusoidal stimulation profile and multichannel fuzzy logic classification for monitor-based phase-coded SSVEP brain–computer interfacing , 2013, Journal of neural engineering.
[6] G. Pfurtscheller,et al. EEG-based discrimination between imagination of right and left hand movement. , 1997, Electroencephalography and clinical neurophysiology.
[7] Dennis J. McFarland,et al. Brain–computer interfaces for communication and control , 2002, Clinical Neurophysiology.
[8] Di Guo,et al. Hankel Matrix Nuclear Norm Regularized Tensor Completion for $N$-dimensional Exponential Signals , 2016, IEEE Transactions on Signal Processing.
[9] Yijun Wang,et al. Lead selection for SSVEP-based brain-computer interface , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[10] Gene H. Golub,et al. Numerical methods for computing angles between linear subspaces , 1971, Milestones in Matrix Computation.
[11] Xiaorong Gao,et al. A high-ITR SSVEP-based BCI speller , 2014 .
[12] Naveed Iqbal Rao,et al. Towards a Brain Computer Interface using wavelet transform with averaged and time segmented adapted wavelets , 2009, 2009 2nd International Conference on Computer, Control and Communication.
[13] Tzyy-Ping Jung,et al. High-speed spelling with a noninvasive brain–computer interface , 2015, Proceedings of the National Academy of Sciences.
[14] Michele Rossi,et al. Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals , 2017, IEEE Internet of Things Journal.
[15] G.F. Inbar,et al. An improved P300-based brain-computer interface , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[16] José Rouillard,et al. SSVEP-based BCIs: study of classifier stability over time and effects of human learning on classification accuracy , 2014 .
[17] Jzau-Sheng Lin,et al. A Wireless BCI-Controlled Integration System in Smart Living Space for Patients , 2016, Wirel. Pers. Commun..
[18] R. Homan,et al. Cerebral location of international 10-20 system electrode placement. , 1987, Electroencephalography and clinical neurophysiology.
[19] Toshihisa Tanaka,et al. SSVEP-Based Brain–Computer Interfaces Using FSK-Modulated Visual Stimuli , 2013, IEEE Transactions on Biomedical Engineering.
[20] B. Rockstroh,et al. Biofeedback of slow cortical potentials. I. , 1980, Electroencephalography and clinical neurophysiology.
[21] Yunhao Liu,et al. LANDMARC: Indoor Location Sensing Using Active RFID , 2004, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..
[22] Yuechun Chu,et al. A UWB-based 3D location system for indoor environments , 2005, 2nd International Conference on Broadband Networks, 2005..
[23] Hubert Cecotti,et al. A Self-Paced and Calibration-Less SSVEP-Based Brain–Computer Interface Speller , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[24] L. Benini,et al. A wearable EEG-based drowsiness detection system with blink duration and alpha waves analysis , 2017, 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER).
[25] Yijun Wang,et al. Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis , 2018, IEEE Transactions on Biomedical Engineering.
[26] Enrique Mario Spinelli,et al. An Embedded Hybrid BCI Speller , 2017 .
[27] Andrew G. Dempster,et al. Indoor localization using FM radio signals: A fingerprinting approach , 2011, 2011 International Conference on Indoor Positioning and Indoor Navigation.
[28] Christoph Guger,et al. A Brain-Computer Interface Based on Steady State Visual Evoked Potentials for Controlling a Robot , 2009, IWANN.
[29] W. Perlstein,et al. Steady-state visual evoked potentials reveal frontally-mediated working memory activity in humans , 2003, Neuroscience Letters.
[30] C. Herrmann. Human EEG responses to 1–100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena , 2001, Experimental Brain Research.
[31] T. Jung,et al. Dry and Noncontact EEG Sensors for Mobile Brain–Computer Interfaces , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[32] Jiří Kárník,et al. Summary of available indoor location techniques , 2016 .
[33] Xiaorong Gao,et al. A BCI-based environmental controller for the motion-disabled. , 2003, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[34] Leire Muguira,et al. An environment adaptive ZigBee-based indoor positioning algorithm , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.
[35] Ronald M. Aarts,et al. A Survey of Stimulation Methods Used in SSVEP-Based BCIs , 2010, Comput. Intell. Neurosci..
[36] Amr Mohamed,et al. EEG-Based Transceiver Design With Data Decomposition for Healthcare IoT Applications , 2018, IEEE Internet of Things Journal.
[37] Aaron Striegel,et al. Face-to-Face Proximity EstimationUsing Bluetooth On Smartphones , 2014, IEEE Transactions on Mobile Computing.
[38] Xuewen Liao,et al. A hybrid indoor positioning algorithm based on WiFi fingerprinting and pedestrian dead reckoning , 2016, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).
[39] H. Hotelling. Relations Between Two Sets of Variates , 1936 .
[40] Luca Benini,et al. Multiple Biopotentials Acquisition System for Wearable Applications , 2015, BIODEVICES.
[41] Richard M. Leahy,et al. Electromagnetic brain mapping , 2001, IEEE Signal Process. Mag..
[42] Ig-Jae Kim,et al. Indoor location sensing using geo-magnetism , 2011, MobiSys '11.
[43] H. Flor,et al. The thought translation device (TTD) for completely paralyzed patients. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[44] H. Flor,et al. A spelling device for the paralysed , 1999, Nature.
[45] J. Odom. VISUAL EVOKED POTENTIALS STANDARD , 2004 .
[46] E Donchin,et al. The mental prosthesis: assessing the speed of a P300-based brain-computer interface. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[47] Martin Spüler,et al. A high-speed brain-computer interface (BCI) using dry EEG electrodes , 2017, PloS one.
[48] Toby P. Breckon,et al. On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks , 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[49] Luca Benini,et al. Towards a Novel HMI Paradigm Based on Mixed EEG and Indoor Localization Platforms , 2017, 2017 New Generation of CAS (NGCAS).
[50] Li Zhao,et al. Research on SSVEP-Based Controlling System of Multi-DoF Manipulator , 2009, ISNN.
[51] G. Golub. MATRIX DECOMPOSITIONS AND STATISTICAL CALCULATIONS , 1969 .
[52] M. Slater,et al. Control of a Smart Home with a Brain-Computer Interface , 2008 .
[53] Luca Benini,et al. A sensor fusion approach for drowsiness detection in wearable ultra-low-power systems , 2018, Inf. Fusion.
[54] Kwang Suk Park,et al. Eliciting dual-frequency SSVEP using a hybrid SSVEP-P300 BCI , 2016, Journal of Neuroscience Methods.
[55] S. Coyle,et al. Brain–computer interfaces: a review , 2003 .
[56] Yijun Wang,et al. Developing a one-channel BCI system using a dry claw-like electrode , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[57] D. Regan,et al. Recent advances in electrical recording from the human brain , 1975, Nature.
[58] T Klingeberg,et al. Mobile wearable device for long term monitoring of vital signs , 2012, Comput. Methods Programs Biomed..
[59] Rajesh Singla,et al. Comparison of SSVEP Signal Classification Techniques Using SVM and ANN Models for BCI Applications , 2014 .
[60] Dae-Hyeong Kim,et al. Multifunctional wearable devices for diagnosis and therapy of movement disorders. , 2014, Nature nanotechnology.
[61] Sungho Jo,et al. Hybrid-BCI smart glasses for controlling electrical devices , 2015, 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).
[62] Luca Benini,et al. PULP: A parallel ultra low power platform for next generation IoT applications , 2015, 2015 IEEE Hot Chips 27 Symposium (HCS).
[63] F. L. D. Silva,et al. EEG signal processing , 2000, Clinical Neurophysiology.
[64] Luca Benini,et al. Power Line Interference Removal for High-Quality Continuous Biosignal Monitoring With Low-Power Wearable Devices , 2016, IEEE Sensors Journal.
[65] Mihaly Benda,et al. SSVEP-Based BCI in a Smart Home Scenario , 2017, IWANN.
[66] José del R. Millán,et al. Plug&Play Brain–Computer Interfaces for effective Active and Assisted Living control , 2017, Medical & Biological Engineering & Computing.
[67] David E Thompson,et al. Performance assessment in brain-computer interface-based augmentative and alternative communication , 2013, BioMedical Engineering OnLine.
[68] Wei Wu,et al. Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs , 2007, IEEE Transactions on Biomedical Engineering.
[69] Luca Benini,et al. A Minimally Invasive Low-Power Platform for Real-Time Brain Computer Interaction Based on Canonical Correlation Analysis , 2019, IEEE Internet of Things Journal.
[70] V. Sinha,et al. Event-related potential: An overview , 2009, Industrial psychiatry journal.
[71] P. Suffczynski,et al. On the Quantification of SSVEP Frequency Responses in Human EEG in Realistic BCI Conditions , 2013, PloS one.
[72] Frederick C. Harris,et al. An Overview of Brain Computer Interfaces , 2015 .
[73] Xiaorong Gao,et al. Design and implementation of a brain-computer interface with high transfer rates , 2002, IEEE Transactions on Biomedical Engineering.
[74] Gernot R. Müller-Putz,et al. Control of an Electrical Prosthesis With an SSVEP-Based BCI , 2008, IEEE Transactions on Biomedical Engineering.
[75] M. Shamim Hossain,et al. Cloud-Supported Cyber–Physical Localization Framework for Patients Monitoring , 2017, IEEE Systems Journal.
[76] Huai-Rong Shao,et al. WiFi-based indoor positioning , 2015, IEEE Communications Magazine.
[77] E. Donchin,et al. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. , 1988, Electroencephalography and clinical neurophysiology.
[78] Pablo F. Diez,et al. Asynchronous BCI control using high-frequency SSVEP , 2011, Journal of NeuroEngineering and Rehabilitation.
[79] Brendan Z. Allison,et al. The Hybrid BCI , 2010, Frontiers in Neuroscience.
[80] Cuntai Guan,et al. Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke , 2014, Front. Neuroeng..
[81] Parikshit Shah,et al. Compressed Sensing Off the Grid , 2012, IEEE Transactions on Information Theory.