Papers using Enobio

Enobio has been used or mentioned in the following publications (non-exahustive list):

2016

• V. Bono, S. Das, W. Jamal, K. Maharatna. Hybrid wavelet and EMD/ICA approach for artifact suppression in pervasive EEG. Journal of Neuroscience Methods. doi:10.1016/j.jneumeth.2016.04.006 (July 2016).
• F. Škola. An Investigation of the Rubber Hand Illusion for Virtual and Augmented Reality. Masaryk University | Faculty of Informatics. (Fall 2016).
• F. Škola, and F. Liarokapis. Examining the effect of body ownership in immersive virtual and augmented reality environments. Springer | The Visual Computer pp 1-10. doi:10.1007/s00371-016-1246-8 (May 2016).
• W.H. Khalifa , M.I. Roushdy, A.-B. M. Salem. Machine Learning Techniques for Intelligent Access Control. Springer | Intelligent Systems Reference Library. doi:10.1007/978-3-319-32192-9_10 (May 2016).
• W. Mumtaz, P.L. Vuong, L. Xia, A.S. Malik, R.B.A. Rashid. Automatic Diagnosis of Alcohol Use Disorder using EEG Features. Elsevier | Knowledge-Based Systems. doi:10.1016/j.knosys.2016.04.026 (April 2016).
• J. Frey. VIF: Virtual Interactive Fiction (with a twist). HAL - Inria (April 2016).
• V. Bono, D. Biswas, S. Das, K. Maharatna. Classifying Human Emotional States using Wireless EEG based ERP and Functional Connectivity Measures. ePrints Soton - University of Southampton (March 2016).
• Won-Du Chang, Jeong-Hwan Lim and Chang-Hwan Im An unsupervised eye blink artifact detection method for real-time electroencephalogram processing Physiological Measurement, Volume 37, Number 3 (Feb 2016).
• A. Vourvopoulos, S. Bermudez-i-Badia. Usability and Cost-effectiveness in Brain-Computer Interaction: Is it User Throughput or Technology Related?. Proceedings of the 7th Augmented Human International Conference 2016. doi:10.1145/2875194.2875244 (February 2016).
• D. Biswas, V. Bono, M. Scott-South, S. Chatterjee, A. Soska, S. Snow, C. Noakes, J.F. Barlow, K. Maharatna. M.C. Schraefel. Analysing wireless EEG based functional connectivity measures with respect to change in environmental factors. ePrints Soton - University of Southampton (February 2016).
• S. Mealla, S. Jordà, A. Väljamäe. Physiopucks: increasing user motivation by combining tangible and implicit physiological interaction. ACM Transactions on Computer-Human Interaction. (January 2016).
• R.A. Fabio, L. Billeci, G. Crifaci, E. Troise, G. Tortorella, G. Pioggia. Cognitive training modifies frequency EEG bands and neuropsychological measures in Rett syndrome. Elsevier | Research in Developmental Disabilities. doi:10.1016/j.ridd.2016.01.009 (January 2016).

2015

• D. Iacoviello, N. Pagnani, A. Petracca, M. Spezialetti, G. Placidi. A Poll Oriented Classifier for Affective Brain Computer Interfaces. NEUROTECHNIX 2015 - International Congress on Neurotechnology, Electronics and Informatics (November 2015).
• D. Iacoviello, A. Petracca, M. Spezialetti, G. Placidi. A Classification Algorithm for Electroencephalography Signals by Self-Induced Emotional Stimuli. IEEE Transactions on Cybernetics (November 2015).
• G. Placidi , A. Petracca, M. Spezialetti, D. Iacoviello. A Modular Framework for EEG Web Based Binary Brain Computer Interfaces to Recover Communication Abilities in Impaired People. Patient Facing Systems | Journal of Medical Systems (November 2015).
• C. Camara , P. Peris-Lopez, J. E. Tapiador, G. Suarez-Tangil Non-invasive Multi-modal Human Identification System Combining ECG, GSR, and Airflow Biosignals. Journal of Medical and Biological Engineering (November 2015).
• W.-D. Chang, H.-S. Cha, K. Kim, C.-H. Im. Detection of eye blink artifacts from single prefrontal channel electroencephalogram. Elsevier | Computer Methods and Programs in Biomedicine. (October 2015).
• F. Pistoia, A. Carolei, D. Iacoviello, A. Petracca, S. Sacco, M. Sarà, M. Spezialetti, G. Placidi, EEG-detected olfactory imagery to reveal covert consciousness in minimally conscious state. Brain Injury, (October 2015).
• G. Placidi, A. Petracca, M. Spezialetti, D. Iacoviello. Classification strategies for a single-trial binary Brain Computer Interface based on remembering unpleasant odors. IEEE EMBS, 37th Annual International Conference (August 2015).
• Collado-Mateo, Daniel, Adsuar, Jose C., Olivares, Pedro R., Cano-Plasencia, Ricardo and Gusi, Narcis. Using a dry electrode EEG device during balance tasks in healthy young-adult males: Test–retest reliability analysis. Somatosensory & Motor Research, pages 1-8 (September 2015).
• D. Iacoviello, A. Petracca, M. Spezialetti, G. Placidi. A real-time classification algorithm for EEG-based BCI driven by self-induced emotions. Computer Methods and Programs in Biomedicine, Elsevier, (August 2015).
• M. Huotilainen, M. Gröhn, I. Yli-Kyyny, J. Virkkala, T. Paunio. Sleep Enhancement by Sound Stimulation. 21st International Conference on Auditory Display (ICAD2015)', Graz, Styria, Austria (July 2015).
• Pinki Kumari, Abhishek Vais. Brainwave based user identification system: A pilot study in robotics environment. Robotics and Autonomous Systems, Volume 65, Pages 15–23 (March 2015).
• Giuseppe Placidi, Danilo Avola, Andrea Petracca, Fiorella Sgallari, Matteo Spezialetti. Basis for the implementation of an EEG-based single-trial binary brain computer interface through the disgust produced by remembering unpleasant odors. Neurocomputing 160 (February 2015) 308–318.

2014

• A. Kaklauskas, A. Kuzminske, E.K. Zavadskas, A. Daniunas, G. Kaklauskas, M. Seniut, J. Raistenskis, A. Safonov, R. Kliukas, A. Juozapaitis, A. Radzeviciene, R. Cerkauskiene. Affective Tutoring System for Built Environment Management. Elsevier | Computers & Education. doi:10.1016/j.compedu.2014.11.016 (December 2014).
• Michelle Fernandes et al. The INTERGROWTH-21st Project Neurodevelopment Package: A Novel Method for the Multi-Dimensional Assessment of Neurodevelopment in Pre-School Age Children . Plos One (Nov. 2014).
• Benjamin Cowley and Niklas Ravaja. Learning in balance: Using oscillatory EEG biomarkers of attention, motivation and vigilance to interpret game-based learning. Cogent Education Vol. 1, Iss. 1 (September 2014).
• Mihajlovic, V.; Grundlehner, B.; Vullers, R.; Penders, J., Wearable, Wireless EEG Solutions in Daily Life Applications: What are we missing?. Biomedical and Health Informatics, IEEE Journal of , vol.PP, no.99, pp.1,1 (June 2014).
• Ossmann, Roland, Stefan Parker, David Thaller, Karol Pecyna, Alvaro García‐Soler, Blanca Morales, Christoph Weiß, Christoph Veigl, and Konstantinos Kakousis. AsTeRICS, a flexible AT construction set. International Journal of Adaptive Control and Signal Processing (June 2014).
• Velásquez, Esteban, Alejandro Cardona, and Alejandro Peña. Modelo Vectorial para la Inferencia del Estado Cognitivo de Pacientes en Estados Derivados del Coma. Iberian Journal of Information Systems and Technologies 13 : 65-81 (June 2014).
• Bono, V., Jamal, W., Das, S. and Maharatna, K. Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques. Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on , vol., no., pp.5864,5868, 4-9 (May 2014).
• Awais, M. Badruddin, N. Drieberg, M., A simulator based study to evaluate driver drowsiness using electroencephalogram. Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on. pp.1,5, 3-5 (June 2014)
• Sabarigiri, B., and D. Suganyadevi. Multi-Channel Electroencephalogram (EEG) Signal Acquisition and its Effective Channel selection with De-noising Using AWICA for Biometric System. International Journal of Engineering & Technology (0975-4024) 6.2 (May 2014).
• Lightbody, G., L. Galway, and P. McCullagh. The brain computer interface: Barriers to becoming pervasive. Pervasive Health. Springer London, 101-129 (April 2014).
• Awais, Muhammad; Badruddin, Nasreen; Drieberg, Micheal. Driver drowsiness detection using EEG power spectrum analysis. Region 10 Symposium, 2014 IEEE, pp.244,247, 14-16 (April 2014)
• S. Abbate, M. Avvenuti, J. Light. Usability study of a wireless monitoring system among Alzheimer's Disease elderly population. International Journal of Telemedicine and Applications (February 2014).
• A. Gaggioli, P. Cipresso, S. Serino, G. Pioggia, G. Tartarisco, G. Baldus, D. Corda, M. Ferro, N. Carbonaro, A. Tognetti, D.D. Rossi, D. Giakoumis, D. Tzovaras, A. Riera, G. Riva. A Decision Support System for Real-Time Stress Detection During Virtual Reality Exposure. Studies in health technology and informatics, 196: 114. doi: 10.3233/978-1-61499-375-9-114 (January 2014).
• C Kranczioch, C Zich, I Schierholz, A Sterr. Mobile EEG and its potential to promote the theory and application of imagery-based motor rehabilitation. International Journal of Psychophysiology, Volume 91, Issue 1, pp: 10–15 (January 2014).

2013

• J. Light, K. T, Xiaoyi Li, A.R. Malali. Fall Pattern Classification from Brain Signals using Machine Learning Models. Journal of Selected Areas in Telecommunications (JSAT), Volume 3, Issue 12 (December 2013).
• B. Morales, U. Diaz-Orueta, Á. García-Soler, K. Pecyna, R. Ossmann, G. Nussbaum, C. Veigl, C. Weiss, J. Acedo, A. Soria-Frisch. AsTeRICS: a new flexible solution for people with motor disabilities in upper limbs and its implication for rehabilitation procedures. Disabil Rehabil Assist Technol.. 8(6):482-95. doi: 10.3109/17483107.2012.754956 (November 2013).
• D. Ibáñez, L. Dubreuil-Vall, O. Ripolles, A. Riera. BrainSurfer: A Novel Neurofeedback Tool for ADHD Training . Proceedings of Amrita Bioquest 2013 Conference, Vallikavu (India), (August 2013).
• A.J. Karran, S.H. Fairclough, K. Gilleade. Interest as a knowledge emotion: Psychophysiological Classification in the Context of Cultural Heritage (June 2013).
• Balanou, Evangelia, Mark van Gils, and Toni Vanhala. State-of-the-Art of Wearable EEG for Personalized Health Applications. PHealth 2013: Proceedings of the 10th International Conference on Wearable Micro and Nano Technologies for Personalized Health. Vol. 189. IOS Press.(June 2013).
• C. Veigl, C. Weis, K. Kakousis, D. Ibanez, A. Soria-Frisch, A. Carbone. Model-based design of novel human-computer interfaces — The Assistive Technology Rapid Integration & Construction Set (AsTeRICS). Proceedings of ISSNIP Biosignals and Biorobotics Conference (BRC), pp: 1-7. doi: 10.1109/BRC.2013.6487539 (February 2013).
• D. Ibanez, A. Soria-Frisch. Comparison of Asynchronous SSVEP-based BCI detection approaches for Assistive Technologies. Proceedings of TOBI workshop IV, Sion, Switzerland, (January 2013).

2012

• Y. Ishikawa, M. Takata, K. Joe. Constitution and phase analysis of alpha waves. Proceedings of Biomedical Engineering International Conference (BMEiCON), pp: 1-5. doi: 10.1109/BMEiCon.2012.6465482 (December 2012).
• Alejandro Riera Computational Intelligence Techniques for Electro-Physiological Data Analysis. PhD thesis. (November 2012).
• B. Cowley, K. Juurmaa, M. Repo. CENT Computer Enabled Neuroplasticity Treatment. ISNR International Society for Neurofeedback & Research 20th Annual Conference, Orlando, Florida, United States. Vol. 19. (2012).
• S. Abbate, M. Avvenuti, J. Light. MIMS: A Minimally Invasive Monitoring Sensor Platform. Sensors Journal, IEEE. pp: 677-684. doi: 10.1109/JSEN.2011.2149515 (March 2012).
• T. Kathikeyan, B. Sabarigiri. Countermeasures against IRIS spoofing and liveness detection using Electroencephalogram (EEG). International Conference on Computing, Communication and Applications (ICCCA), pp: 1-5 (February 2012).
• Stephen Barrass. Sonifications for concert and live performance. AI & SOCIETY, Volume 27, Issue 2, pp: 281-283 (May 2012).
• A. Riera, S. Dunne, I. Cester, G. Ruffini. Electrophysiological Biometrics: Opportunities and Risks. Second Generation Biometrics: The Ethical, Legal and Social Context. The International Library of Ethics, Law and Technology Volume 11, pp 149-176 (January 2012).
• García-Soler, Alvaro, et al. Addressing accessibility challenges of people with motor disabilities by means of AsTeRICS: a step by step definition of technical requirements. Springer Berlin Heidelberg. (2012).

2011

• E. M. Peck, E. T. Solovey. The Sensorium: Research teams from around the world reflect on their brain sensing setups. XRDS: Crossroads, The ACM Magazine for Students - Neuroscience and Computing: Technology on the Brain, Volume 18, Issue 1, pp: 14-17. doi: 10.1145/2000775.2000783 (Fall 2011).
• K. Kaszuba, B. Kostek. A bimodal approach to brain-computer interaction measurements. Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference Proceedings (SPA), pp: 1-6 (September 2011).
• Mealla, S., Väljamäe, A., Bosi, M., & Jordà, S. (2011). Sonification of Brain and Body Signals in Collaborative Tasks Using a Tabletop Musical Interface. Proceedings of 17th International Conference on Auditory Display (ICAD) (pp. 1-5).
• J. Light, X. Li, S. Abbate. Developing cognitive decline baseline for normal ageing from sleep-EEG monitoring using wireless neurosensor devices. Proceedings of 24th Canadian Conference on Electrical and Computer Engineering (CCECE) pp. 001527-001531, doi: 10.1109/CCECE.2011.6030721 (May 2011).
• C. Grozea, C. D. Voinescu, S. Fazli. Bristle-sensors—low-cost flexible passive dry EEG electrodes for neurofeedback and BCI applications. Journal of neural engineering 8.2: 025008 (2011).
• Y. Ishikawa, S. Teramae, N. Yoshii, M. Takata, K Joe. A Real-time Analysis Environment for a Wireless BMI Device Enobio. The 2011 International Conference on Parallel and Distributed Processing Techniques and Applications, Vol.2, pp: 739-744 (2011).
• Mealla, S., Bosi, M., Väljamäe, A., & Jordà, S. (2011). Let Me Listen to Your Brain : Physiology-based Interaction in Collaborative Music Composition. CHI (pp. 1-4).
• Mealla, S. (2011). Listening to Your Brain: Implicit Interaction in Collaborative Music Performances. Proceedings of the International Conference on New Interfaces for Musical Expression (pp. 149-154). ACM.
• Ishikawa, Yu, et al. A Real-time Analysis Environment for a Wireless BMI Device Enobio. (2011).
• Peck, Evan, and Erin Treacy Solovey. The sensorium. ACM Crossroads 18.1 : 14-17. (2011).
• Vadivelu, S. Skillful Limbs-A Brain Controlled Artificial Limb-A Tribute to the Society. Digital Signal Processing 3.10 : 493-496. (2011).

2010

• Soria-Frisch, A., Riera, A., & Dunne, S. Fusion operators for multi-modal biometric authentication based on physiological signals. In Fuzzy Systems (FUZZ), 2010 IEEE International Conference on (pp. 1-7), DOI:10.1109/FUZZY.2010.5584121, IEEE (2010, July).
• Zhang, Biao, Jianjun Wang, and Thomas Fuhlbrigge. A review of the commercial brain-computer interface technology from perspective of industrial robotics. 2010 IEEE International Conference on Automation and Logistics (ICAL), pp: 379 - 384, doi: 10.1109/ICAL.2010.5585311 (2010).
• K. Katarzyna, K. Krzysztof, O. Piotr, K. Bożena. Biofeedback-Based Brain Hemispheric Synchronizing Employing Man-Machine Interface. Internaitonal Journal of Artificial Intelligence Tools, Intelligent Decision Technologies, Volume 6, pp 59-68 (2010).
• Duguleana, Mihai, and Gheorghe Mogan. Using eye blinking for eog-based robot control. Emerging Trends in Technological Innovation. Springer Berlin Heidelberg, 343-350 (2010)

2009

• S. Le Groux, P. F. M. J. Verschure. Neuromuse: Training your brain through musical interaction. Proceedings of the International Conference on Auditory Display, Copenhagen, Denmark (May 2009).
• A. Riera, A. Soria-Frisch, M. Caparrini, I. Cester, G. Ruffini. Multimodal Physiological Biometrics Authentication, in Biometrics: Theory, Methods, and Applications (eds N. V. Boulgouris, K. N. Plataniotis and E. Micheli-Tzanakou), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470522356.ch18 (2009).

2008

• R. Ibarra-Orozco, M. Gonzalez-Mendoza, N. Hernandez-Gress, F. Diederichs, J. Kortelainen. Towards a Ready-to-Use Drivers' Vigilance Monitoring System. Proceedings of International Conference on Computational Intelligence for Modelling Control & Automation, pp: 802-807. doi: 10.1109/CIMCA.2008.161 (December 2008).
• G. Ruffini, S. Dunne, L. Fuentemilla, C. Grau, E. Farrés, J. Marco-Pallarés, P.C.P. Watts, S.R.P. Silva. First human trials of a dry electrophysiology sensor using a carbon nanotube array interface. Sensors and Actuators A: Physical, 144.2, pp: 275-279. doi: 10.1016/j.sna.2008.03.007 (June 2008).
• A. Riera, S. Dunne, I. Cester, G. Ruffini. STARFAST: a Wireless Wearable EEG/ECG Biometric System based on the ENOBIO Sensor. Proceedings of 5th International Workshop on Wearable Micro and Nanosystems for Personlized Health (May 2008).
• I. Cester, S. Dunne, A. Riera, G. Ruffini. ENOBIO: Wearable, Wireless, 4-channel electrophysiology recording system optimized for dry electrodes. Phealth, International Workshop on Wearable Micro and Nanosystems for Personalised Health (May 2008).
• Riera, A., Soria-Frisch, A., Caparrini, M., Grau, C., & Ruffini, G. (2008). Unobtrusive Biometric System Based on Electroencephalogram Analysis. EURASIP Journal on Advances in Signal Processing.

2007

• G. Ruffini , S. Dunne , E. Farres , I. Cester , P. Watts , S. Ravi , P. Silva , C. Grau , L. Fuentemilla , J. Marco-Pallares and B. Vandecasteele ENOBIO dry electrophysiology electrode; first human trial plus wireless electrode system. Proc. 29th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., pp.6689 -6693 (August 2007).

2006

• G.Ruffini, S. Dunne, E. Farrés, J. Marco-Pallarés, C. Ray, E.Mendoza, R.Silva, C.Grau. A dry electrophysiology electrode using CNT arrays. Proceedings of the 19th European Conference on Solid-State Transducers. Volume 132, Issue 1, 8 November 2006, Pages 34–41 (November 2006).
• G. Ruffini, S. Dunne, E. Farres, P.C.P. Watts, E. Mendoza; S.R.P. Silva, C. Grau, J. Marco-Pallares, L. Fuentemilla, B. Vandecasteele. ENOBIO - First Tests of a Dry Electrophysiology Electrode using Carbon Nanotubes. 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp: 1826 - 1829. doi: 10.1109/IEMBS.2006.259248 (September 2006).