• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 19 matches

• 2023
• 
  Alexander Kies, Stefanie Paluch:
  Examining User Perceptions of Brain-Computer Interfaces for Practical Applications: An Exploratory Study. ICIS 2023
• 2022
• 
  Anton Nijholt, José Luis Contreras-Vidal, Camille Jeunet, Aleksander Väljamäe:
  Editorial: Brain-Computer Interfaces for Non-clinical (Home, Sports, Art, Entertainment, Education, Well-Being) Applications. Frontiers Comput. Sci. 4: 860619 (2022)
• 2021
• 
  Xiang Zhang, Lina Yao:
  Deep Learning for EEG-Based Brain-Computer Interfaces - Representations, Algorithms and Applications. WorldScientific 2021, ISBN 9781786349583, pp. 1-296
• 
  Oleksii Avilov:
  Deep learning methods for motor imagery detection from raw EEG : applications to brain-computer interfaces. (Méthodes d'apprentissage en profondeur pour la détection d'imagerie motrice à partir de l'EEG filtré : applications aux interfaces cerveau-ordinateur). University of Lorraine, Nancy, France, 2021
• 
  Pasquale Arpaia, Antonio Esposito, Francesca Mancino, Nicola Moccaldi, Angela Natalizio:
  Active and Passive Brain-Computer Interfaces Integrated with Extended Reality for Applications in Health 4.0. AVR 2021: 392-405
• 
  Leopoldo Angrisani, Pasquale Arpaia, Egidio De Benedetto, Antonio Esposito, Nicola Moccaldi, Marco Parvis:
  Brain-computer Interfaces for Daily-life Applications: a Five-year Experience Report. I2MTC 2021: 1-6
• 2020
• 
  Florencia Garro, Zach McKinney:
  Toward a Standard User-Centered Design Framework for Medical Applications of Brain-Computer Interfaces. ICHMS 2020: 1-3
• 2019
• 
  Irina-Emilia Nicolae:
  Advanced EEG signal processing with applications in brain-computer interfaces: evaluating user focused paradigms for the purpose of enhancing brain-computer interaction. Technical University of Berlin, Germany, 2019
• 
  Ankita Bose, Sanjiban Sekhar Roy, Valentina Emilia Balas, Pijush Samui:
  Deep Learning for Brain Computer Interfaces. Handbook of Deep Learning Applications 2019: 333-344
• 2017
• 
  Davide Valeriani, Caterina Cinel, Riccardo Poli:
  Augmenting group performance in target-face recognition via collaborative brain-computer interfaces for surveillance applications. NER 2017: 415-418
• 2016
• 
  Boyu Wang:
  Machine learning techniques for brain signal analysis with applications on seizure detection and brain-computer interfaces. AI Matters 2(3): 18-19 (2016)
• 2015
• 
  Kusuma Mohanchandra, Snehanshu Saha, G. M. Lingaraju:
  EEG Based Brain Computer Interface for Speech Communication: Principles and Applications. Brain-Computer Interfaces 2015: 273-293
• 2013
• 
  Melissa Quek:
  The role of simulation in developing and designing applications for 2-class motor imagery brain-computer interfaces. University of Glasgow, UK, 2013
• 
  Yuan Yang:
  EEG signal analysis for brain-computer interfaces for large public applications. (Analyse de signaux EEG pour des applications grand-public des interfaces cerveau-machine). Télécom ParisTech, France, 2013
• 2011
• 
  Rémi Flamary:
  Apprentissage statistique pour le signal: applications aux interfaces cerveau-machine. (Machine learning for signal processing : applications to Brain Computer Interfaces). University of Rouen, France, 2011
• 
  Cristina de Negueruela, Michael Broschart, Carlo Menon, José del R. Millán:
  Brain-computer interfaces for space applications. Pers. Ubiquitous Comput. 15(5): 527-537 (2011)
• 
  Mike Grierson, Chris Kiefer, Matthew Yee-King:
  Progress Report on the EAVI BCI Toolkit for Music: Musical Applications of Algorithms for use with consumer brain computer interfaces. ICMC 2011
• 2010
• 
  Melody Moore Jackson, Rudolph L. Mappus IV:
  Applications for Brain-Computer Interfaces. Brain-Computer Interfaces 2010: 89-103
• 2004
• 
  Roman Krepki:
  Brain-computer interfaces: design and implementation of an online BCI system for the control in gaming applications and virtual limbs. Berlin Institute of Technology, Germany, VDM Verlag Dr. Müller 2004, ISBN 978-3-8364-7035-3, pp. 1-148