Results 31 to 40 of about 36,878 (289)

A comparative study of impervious surface extraction using Sentinel-2 imagery

European Journal of Remote Sensing, 2020
The accuracy and efficiency of impervious surface extraction using different algorithms vary greatly, and algorithm applicability depends on the study area.
Junyi Chen, Suozhong Chen, Chao Yang, Liang He, Manqing Hou, Tiezhu Shi   +5 more
doaj   +1 more source

Predicting BCI performance to study BCI illiteracy [PDF]

BMC Neuroscience, 2009
a Berlin Institute of Technology, Machine Learning Laboratory, Berlin, Germany b Fraunhofer FIRST IDA, Berlin, Germany c Dept. of Neurology, Campus Benjamin Franklin, Charite University Medicine Berlin, Germany d Institute of Medical Psychology and Behavioral Neurobiology, Universitat Tubingen, Germany e Department of Biological Psychology, Clinical ...
Blankertz Benjamin, Curio Gabriel, Müller Klaus-Robert, Sannelli Claudia, Dickhaus Thorsten   +4 more
openaire   +2 more sources

A Survey in Implementation and Applications of Electroencephalograph (EEG)-Based Brain-Computer Interface [PDF]

Engineering and Technology Journal, 2021
A Brain-Computer Interface (BCI) is an external system that controls activities and processes in the physical world based on brain signals. In Passive BCI, artificial signals are automatically generated by a computer program without any input from nerves
Samaa Abdulwahab, Hussain Khleaf, Manal Jasim   +2 more
doaj   +1 more source

Novel dry electrode EEG headbands for home use: Comparing performance and comfort

Current Directions in Biomedical Engineering, 2020
Monitoring brain activity at home using electroencephalography (EEG) is an increasing trend for both medical and non-medical applications. Gel-based electrodes are not suitable due to the gel application requiring extensive preparation and cleaning ...
Haueisen Jens, Fiedler Patrique, Bernhardt Anna, Gonçalves Ricardo, Fonseca Carlos   +4 more
doaj   +1 more source

Real-Time EEG-Based BCI for Self-Paced Motor Imagery and Motor Execution Using Functional Neural Networks

IEEE Access
This paper introduces a novel application of functional neural networks (FNNs) in the domain of electroencephalography-based (EEG-based) brain-computer interfaces (BCIs), targeting self-paced motor execution (ME) and motor imagery (MI).
Mavin Heim, Florian Heinrichs, Michael Hueppe, Fran Nunez, Alexander Szameitat, Muriel Reuter, Stefan M. Goetz, Corinna Weber   +7 more
doaj   +1 more source

Experimental Investigation of Displacer Seal Geometry Effects in Stirling Cycle Machines

Energies, 2019
This contribution deals with an experimental investigation of the optimization potential of Stirling engines and similar regenerative machines by an enhanced design of the cylinder liner and the seal.
Jan Sauer, Hans-Detlev Kühl
doaj   +1 more source

Semi-BCI Algebras

J. Multiple Valued Log. Soft Comput., 2018
The notion of semi-BCI algebras is introduced and some of its properties are investigated. This algebra is another generalization for BCI-algebras. It arises from the "intervalization" of BCI algebras. Semi-BCI have a similar structure to Pseudo-BCI algebras however they are not the same. In this paper we also provide an investigation on the similarity
Regivan H. N. Santiago, Benjamín R. C. Bedregal, João Marcos 0001, Carlos Caleiro, Jocivania Pinheiro   +4 more
openaire   +5 more sources

Asynchronous, parallel on-line classification of P300 and ERD for an efficient hybrid BCI

, 2011
Riechmann H, Hachmeister N, Ritter H, Finke A. Asynchronous, parallel on-line classification of P300 and ERD for an efficient hybrid BCI. In: Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on.
Hachmeister, Nils ; https://orcid.org/, Riechmann, Hannes, Ritter, Helge ; https://orcid.org/, Finke, Andrea ; https://orcid.org/   +3 more
core   +1 more source

Full-Field Imaging for Evaluating Mode-II Fracture Toughness in CFRP Laminates

Proceedings
To replicate delaminations at the coupon and substructural scales, simulated defects are often introduced into test specimens; therefore, understanding their behaviour within the laminate is essential.
Riccardo Cappello, Rafael Ruiz-Iglesias, Spyros Spyridonidis, Neha Chandarana, Janice M. Dulieu-Barton   +4 more
doaj   +1 more source

Usability of a Hybrid System Combining P300-Based Brain-Computer Interface and Commercial Assistive Technologies to Enhance Communication in People With Multiple Sclerosis

Frontiers in Human Neuroscience, 2022
Brain-computer interface (BCI) can provide people with motor disabilities with an alternative channel to access assistive technology (AT) software for communication and environmental interaction.
Angela Riccio, Angela Riccio, Francesca Schettini, Francesca Schettini, Valentina Galiotta, Enrico Giraldi, Maria Grazia Grasso, Febo Cincotti, Donatella Mattia, Donatella Mattia   +9 more
doaj   +1 more source