Matches in SemOpenAlex for { <https://semopenalex.org/work/W2895831343> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W2895831343 abstract "Brain Computer Interface (BCI) has been an emerging topic in recent years. Specially, Artificial Intelligence (AI) is becoming a hot research area in recent years. However, many BCI techniques utilize invasive interfaces to brains (animal or human), which could cause potential risks for experimental subjects. EEG (Electroencephalography) technique has been used extensively as a non-invasive BCI solution for brain activity study. Many psychological work has suggested that human brains can generate some recognizable EEG signals associated with some specific activities. This paper suggests a novel EEG recognition method, i.e. Segmented EEG Graph using PLA (SEGPA), that incorporates improved Piecewise Linear Approximation (PLA) algorithm and EEG-based weighted network for EEG pattern recognition, which can be used for machinery control. The improved PLA algorithm and EEG-based weighted network technique incorporates the data sampling and segmentation method. This research proposes a potentially efficient method for recognizing human's brain activities that can be used for machinery or robot control." @default.
- W2895831343 created "2018-10-26" @default.
- W2895831343 creator A5029361794 @default.
- W2895831343 creator A5038516431 @default.
- W2895831343 creator A5081879366 @default.
- W2895831343 creator A5091883923 @default.
- W2895831343 date "2018-07-01" @default.
- W2895831343 modified "2023-10-16" @default.
- W2895831343 title "Generating EEG Graphs Based on PLA for Brain Wave Pattern Recognition" @default.
- W2895831343 cites W1778001098 @default.
- W2895831343 cites W2013243866 @default.
- W2895831343 cites W2113012136 @default.
- W2895831343 cites W2124553891 @default.
- W2895831343 cites W2336293542 @default.
- W2895831343 cites W2373126443 @default.
- W2895831343 doi "https://doi.org/10.1109/cec.2018.8477796" @default.
- W2895831343 hasPublicationYear "2018" @default.
- W2895831343 type Work @default.
- W2895831343 sameAs 2895831343 @default.
- W2895831343 citedByCount "3" @default.
- W2895831343 countsByYear W28958313432020 @default.
- W2895831343 crossrefType "proceedings-article" @default.
- W2895831343 hasAuthorship W2895831343A5029361794 @default.
- W2895831343 hasAuthorship W2895831343A5038516431 @default.
- W2895831343 hasAuthorship W2895831343A5081879366 @default.
- W2895831343 hasAuthorship W2895831343A5091883923 @default.
- W2895831343 hasConcept C119857082 @default.
- W2895831343 hasConcept C152478114 @default.
- W2895831343 hasConcept C153180895 @default.
- W2895831343 hasConcept C154945302 @default.
- W2895831343 hasConcept C15744967 @default.
- W2895831343 hasConcept C169760540 @default.
- W2895831343 hasConcept C173201364 @default.
- W2895831343 hasConcept C28490314 @default.
- W2895831343 hasConcept C41008148 @default.
- W2895831343 hasConcept C522805319 @default.
- W2895831343 hasConcept C89600930 @default.
- W2895831343 hasConceptScore W2895831343C119857082 @default.
- W2895831343 hasConceptScore W2895831343C152478114 @default.
- W2895831343 hasConceptScore W2895831343C153180895 @default.
- W2895831343 hasConceptScore W2895831343C154945302 @default.
- W2895831343 hasConceptScore W2895831343C15744967 @default.
- W2895831343 hasConceptScore W2895831343C169760540 @default.
- W2895831343 hasConceptScore W2895831343C173201364 @default.
- W2895831343 hasConceptScore W2895831343C28490314 @default.
- W2895831343 hasConceptScore W2895831343C41008148 @default.
- W2895831343 hasConceptScore W2895831343C522805319 @default.
- W2895831343 hasConceptScore W2895831343C89600930 @default.
- W2895831343 hasLocation W28958313431 @default.
- W2895831343 hasOpenAccess W2895831343 @default.
- W2895831343 hasPrimaryLocation W28958313431 @default.
- W2895831343 hasRelatedWork W2134495956 @default.
- W2895831343 hasRelatedWork W2351073962 @default.
- W2895831343 hasRelatedWork W2542551374 @default.
- W2895831343 hasRelatedWork W2555350046 @default.
- W2895831343 hasRelatedWork W2895843840 @default.
- W2895831343 hasRelatedWork W3004117467 @default.
- W2895831343 hasRelatedWork W3155946669 @default.
- W2895831343 hasRelatedWork W3180487986 @default.
- W2895831343 hasRelatedWork W4283321447 @default.
- W2895831343 hasRelatedWork W4285152737 @default.
- W2895831343 isParatext "false" @default.
- W2895831343 isRetracted "false" @default.
- W2895831343 magId "2895831343" @default.
- W2895831343 workType "article" @default.