Matches in SemOpenAlex for { <https://semopenalex.org/work/W3205079256> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W3205079256 endingPage "9" @default.
- W3205079256 startingPage "1" @default.
- W3205079256 abstract "Emotion has always been a complex psychological and physiological phenomenon of people. In order to solve the problem of emotional calculation and emotional measurement methods, it will make people's research and understanding of emotion more meaningful in the future. This article aims to study the research of emotional computing and emotional measurement methods based on intelligent algorithms for wireless network communication. This paper proposes a modelling algorithm of physiological signal emotion based on random forest and LDA. After extracting the general features and proprietary features of the signal, the random forest algorithm is used to calculate the importance of these features under different labels, and the effective features are selected from all the features according to the order of importance. This article also realizes the process of establishing a complete emotional material database and physiological emotional database. Through multiple steps such as signal screening, material selection, emotion annotation and physiological data collection, the problem of missing physiological emotion database is solved. Experimental data shows that compared with other low-level feature classification, the recognition rate of the fusion method in this paper is 57.37% higher than other algorithms, the recognition rate of other behaviours is increased by 4.35%." @default.
- W3205079256 created "2021-10-25" @default.
- W3205079256 creator A5012913156 @default.
- W3205079256 creator A5038886478 @default.
- W3205079256 date "2021-10-19" @default.
- W3205079256 modified "2023-10-14" @default.
- W3205079256 title "Emotional Computing and Emotional Measurement Methods based on Intelligent Algorithms of Wireless Network Communication" @default.
- W3205079256 cites W2239141610 @default.
- W3205079256 cites W2400397113 @default.
- W3205079256 cites W2593233413 @default.
- W3205079256 cites W2734373634 @default.
- W3205079256 cites W2735526856 @default.
- W3205079256 cites W2791425452 @default.
- W3205079256 cites W2896701739 @default.
- W3205079256 cites W2911265174 @default.
- W3205079256 cites W2939614220 @default.
- W3205079256 cites W2940359106 @default.
- W3205079256 cites W2972012663 @default.
- W3205079256 cites W2996304026 @default.
- W3205079256 cites W3007182937 @default.
- W3205079256 cites W3033227798 @default.
- W3205079256 cites W3089246867 @default.
- W3205079256 cites W3127917488 @default.
- W3205079256 cites W3198576108 @default.
- W3205079256 doi "https://doi.org/10.1080/03772063.2021.1982417" @default.
- W3205079256 hasPublicationYear "2021" @default.
- W3205079256 type Work @default.
- W3205079256 sameAs 3205079256 @default.
- W3205079256 citedByCount "1" @default.
- W3205079256 countsByYear W32050792562022 @default.
- W3205079256 crossrefType "journal-article" @default.
- W3205079256 hasAuthorship W3205079256A5012913156 @default.
- W3205079256 hasAuthorship W3205079256A5038886478 @default.
- W3205079256 hasConcept C111919701 @default.
- W3205079256 hasConcept C11413529 @default.
- W3205079256 hasConcept C119857082 @default.
- W3205079256 hasConcept C124101348 @default.
- W3205079256 hasConcept C138885662 @default.
- W3205079256 hasConcept C154945302 @default.
- W3205079256 hasConcept C169258074 @default.
- W3205079256 hasConcept C199360897 @default.
- W3205079256 hasConcept C2776401178 @default.
- W3205079256 hasConcept C2779843651 @default.
- W3205079256 hasConcept C41008148 @default.
- W3205079256 hasConcept C41895202 @default.
- W3205079256 hasConcept C555944384 @default.
- W3205079256 hasConcept C6438553 @default.
- W3205079256 hasConcept C76155785 @default.
- W3205079256 hasConcept C98045186 @default.
- W3205079256 hasConceptScore W3205079256C111919701 @default.
- W3205079256 hasConceptScore W3205079256C11413529 @default.
- W3205079256 hasConceptScore W3205079256C119857082 @default.
- W3205079256 hasConceptScore W3205079256C124101348 @default.
- W3205079256 hasConceptScore W3205079256C138885662 @default.
- W3205079256 hasConceptScore W3205079256C154945302 @default.
- W3205079256 hasConceptScore W3205079256C169258074 @default.
- W3205079256 hasConceptScore W3205079256C199360897 @default.
- W3205079256 hasConceptScore W3205079256C2776401178 @default.
- W3205079256 hasConceptScore W3205079256C2779843651 @default.
- W3205079256 hasConceptScore W3205079256C41008148 @default.
- W3205079256 hasConceptScore W3205079256C41895202 @default.
- W3205079256 hasConceptScore W3205079256C555944384 @default.
- W3205079256 hasConceptScore W3205079256C6438553 @default.
- W3205079256 hasConceptScore W3205079256C76155785 @default.
- W3205079256 hasConceptScore W3205079256C98045186 @default.
- W3205079256 hasLocation W32050792561 @default.
- W3205079256 hasOpenAccess W3205079256 @default.
- W3205079256 hasPrimaryLocation W32050792561 @default.
- W3205079256 hasRelatedWork W2911455822 @default.
- W3205079256 hasRelatedWork W3116896278 @default.
- W3205079256 hasRelatedWork W3174196512 @default.
- W3205079256 hasRelatedWork W3204641204 @default.
- W3205079256 hasRelatedWork W4225360065 @default.
- W3205079256 hasRelatedWork W4282839226 @default.
- W3205079256 hasRelatedWork W4283016678 @default.
- W3205079256 hasRelatedWork W4308191010 @default.
- W3205079256 hasRelatedWork W4322727400 @default.
- W3205079256 hasRelatedWork W4323021782 @default.
- W3205079256 isParatext "false" @default.
- W3205079256 isRetracted "false" @default.
- W3205079256 magId "3205079256" @default.
- W3205079256 workType "article" @default.