FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2940740645> ?p ?o ?g. }

• W2940740645 endingPage "3044" @default.
• W2940740645 startingPage "3033" @default.
• W2940740645 abstract "Brain-computer interface (BCI) is a system empowering humans to communicate with or control the outside world with exclusively brain intentions. Electroencephalography (EEG)-based BCI is one of the promising solutions due to its convenient and portable instruments. Despite the extensive research of EEG in recent years, it is still challenging to interpret EEG signals effectively due to its nature of noise and difficulties in capturing the inconspicuous relations between EEG signals and specific brain activities. Most existing works either only consider EEG as chain-like sequences while neglecting complex dependencies between adjacent signals or requiring complex preprocessing. In this paper, we introduce two deep learning-based frameworks with novel spatio-temporal preserving representations of raw EEG streams to precisely identify human intentions. The two frameworks consist of both convolutional and recurrent neural networks effectively exploring the preserved spatial and temporal information in either a cascade or a parallel manner. Extensive experiments on a large scale movement intention EEG dataset (108 subjects, 3 145 160 EEG records) have demonstrated that the proposed frameworks achieve high accuracy of 98.3% and outperform a set of state-of-the-art and baseline models. The developed models are further evaluated with a real-world brain typing BCI and achieve a recognition accuracy of 93% over five instruction intentions suggesting good generalization over different kinds of intentions and BCI systems." @default.
• W2940740645 created "2019-05-03" @default.
• W2940740645 creator A5010775700 @default.
• W2940740645 creator A5034967388 @default.
• W2940740645 creator A5051904305 @default.
• W2940740645 creator A5052731721 @default.
• W2940740645 creator A5061674635 @default.
• W2940740645 creator A5070071735 @default.
• W2940740645 date "2020-07-01" @default.
• W2940740645 modified "2023-10-14" @default.
• W2940740645 title "Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition" @default.
• W2940740645 cites W1638736765 @default.
• W2940740645 cites W1966620545 @default.
• W2940740645 cites W2005791255 @default.
• W2940740645 cites W2008344458 @default.
• W2940740645 cites W2011485792 @default.
• W2940740645 cites W2019598563 @default.
• W2940740645 cites W2035385895 @default.
• W2940740645 cites W2081269193 @default.
• W2940740645 cites W2100874881 @default.
• W2940740645 cites W2120475512 @default.
• W2940740645 cites W2140413964 @default.
• W2940740645 cites W2150590430 @default.
• W2940740645 cites W2151669316 @default.
• W2940740645 cites W2162800060 @default.
• W2940740645 cites W2270470215 @default.
• W2940740645 cites W2344271072 @default.
• W2940740645 cites W2344681960 @default.
• W2940740645 cites W2356455614 @default.
• W2940740645 cites W2407247393 @default.
• W2940740645 cites W2419125014 @default.
• W2940740645 cites W2507323946 @default.
• W2940740645 cites W2513853720 @default.
• W2940740645 cites W2521878393 @default.
• W2940740645 cites W2528974211 @default.
• W2940740645 cites W2587291184 @default.
• W2940740645 cites W2612056616 @default.
• W2940740645 cites W2613375858 @default.
• W2940740645 cites W2741907166 @default.
• W2940740645 cites W2747152051 @default.
• W2940740645 cites W2751159520 @default.
• W2940740645 cites W2762323924 @default.
• W2940740645 cites W2786010338 @default.
• W2940740645 cites W2786768213 @default.
• W2940740645 cites W2790114788 @default.
• W2940740645 cites W2792244460 @default.
• W2940740645 cites W2796435388 @default.
• W2940740645 cites W2797669432 @default.
• W2940740645 cites W2800380319 @default.
• W2940740645 cites W2808098316 @default.
• W2940740645 cites W2809409175 @default.
• W2940740645 cites W2809612508 @default.
• W2940740645 cites W2896120927 @default.
• W2940740645 cites W2896196659 @default.
• W2940740645 cites W2896852898 @default.
• W2940740645 cites W2901622658 @default.
• W2940740645 cites W2904108724 @default.
• W2940740645 cites W2907281518 @default.
• W2940740645 cites W2915502224 @default.
• W2940740645 cites W2962890799 @default.
• W2940740645 cites W2972923729 @default.
• W2940740645 doi "https://doi.org/10.1109/tcyb.2019.2905157" @default.
• W2940740645 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31021810" @default.
• W2940740645 hasPublicationYear "2020" @default.
• W2940740645 type Work @default.
• W2940740645 sameAs 2940740645 @default.
• W2940740645 citedByCount "206" @default.
• W2940740645 countsByYear W29407406452019 @default.
• W2940740645 countsByYear W29407406452020 @default.
• W2940740645 countsByYear W29407406452021 @default.
• W2940740645 countsByYear W29407406452022 @default.
• W2940740645 countsByYear W29407406452023 @default.
• W2940740645 crossrefType "journal-article" @default.
• W2940740645 hasAuthorship W2940740645A5010775700 @default.
• W2940740645 hasAuthorship W2940740645A5034967388 @default.
• W2940740645 hasAuthorship W2940740645A5051904305 @default.
• W2940740645 hasAuthorship W2940740645A5052731721 @default.
• W2940740645 hasAuthorship W2940740645A5061674635 @default.
• W2940740645 hasAuthorship W2940740645A5070071735 @default.
• W2940740645 hasConcept C113843644 @default.
• W2940740645 hasConcept C118552586 @default.
• W2940740645 hasConcept C119857082 @default.
• W2940740645 hasConcept C120843803 @default.
• W2940740645 hasConcept C129307140 @default.
• W2940740645 hasConcept C134306372 @default.
• W2940740645 hasConcept C153180895 @default.
• W2940740645 hasConcept C154945302 @default.
• W2940740645 hasConcept C15744967 @default.
• W2940740645 hasConcept C157915830 @default.
• W2940740645 hasConcept C173201364 @default.
• W2940740645 hasConcept C173608175 @default.
• W2940740645 hasConcept C177148314 @default.
• W2940740645 hasConcept C177264268 @default.
• W2940740645 hasConcept C199360897 @default.
• W2940740645 hasConcept C33923547 @default.
• W2940740645 hasConcept C34736171 @default.
• W2940740645 hasConcept C41008148 @default.
• W2940740645 hasConcept C522805319 @default.

• next