Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893019778> ?p ?o ?g. }
- W2893019778 endingPage "10" @default.
- W2893019778 startingPage "1" @default.
- W2893019778 abstract "Human activity recognition (HAR) problems have traditionally been solved by using engineered features obtained by heuristic methods. These methods ignore the time information of the streaming sensor data and cannot achieve sequential human activity recognition. With the use of traditional statistical learning methods, results could easily plunge into the local minimum other than the global optimal and also face the problem of low efficiency. Therefore, we propose a hybrid deep framework based on convolution operations, LSTM recurrent units, and ELM classifier; the advantages are as follows: (1) does not require expert knowledge in extracting features; (2) models temporal dynamics of features; and (3) is more suitable to classify the extracted features and shortens the runtime. All of these unique advantages make it superior to other HAR algorithms. We evaluate our framework on OPPORTUNITY dataset which has been used in OPPORTUNITY challenge. Results show that our proposed method outperforms deep nonrecurrent networks by 6%, outperforming the previous reported best result by 8%. When compared with neural network using BP algorithm, testing time reduced by 38%." @default.
- W2893019778 created "2018-10-05" @default.
- W2893019778 creator A5009306083 @default.
- W2893019778 creator A5025519373 @default.
- W2893019778 creator A5045777582 @default.
- W2893019778 creator A5049526350 @default.
- W2893019778 creator A5054280903 @default.
- W2893019778 creator A5066602150 @default.
- W2893019778 date "2018-09-27" @default.
- W2893019778 modified "2023-10-04" @default.
- W2893019778 title "Sequential Human Activity Recognition Based on Deep Convolutional Network and Extreme Learning Machine Using Wearable Sensors" @default.
- W2893019778 cites W166763040 @default.
- W2893019778 cites W1983364832 @default.
- W2893019778 cites W1984049995 @default.
- W2893019778 cites W1999712889 @default.
- W2893019778 cites W2023302299 @default.
- W2893019778 cites W2026131661 @default.
- W2893019778 cites W2034899024 @default.
- W2893019778 cites W2040870580 @default.
- W2893019778 cites W2064675550 @default.
- W2893019778 cites W2073401630 @default.
- W2893019778 cites W2200813474 @default.
- W2893019778 cites W2202411278 @default.
- W2893019778 cites W2270470215 @default.
- W2893019778 cites W2511719117 @default.
- W2893019778 cites W2561620753 @default.
- W2893019778 cites W2607223307 @default.
- W2893019778 cites W2625691825 @default.
- W2893019778 cites W2747745953 @default.
- W2893019778 cites W2755337665 @default.
- W2893019778 cites W2767525658 @default.
- W2893019778 cites W2782877555 @default.
- W2893019778 cites W4239510810 @default.
- W2893019778 doi "https://doi.org/10.1155/2018/8580959" @default.
- W2893019778 hasPublicationYear "2018" @default.
- W2893019778 type Work @default.
- W2893019778 sameAs 2893019778 @default.
- W2893019778 citedByCount "47" @default.
- W2893019778 countsByYear W28930197782019 @default.
- W2893019778 countsByYear W28930197782020 @default.
- W2893019778 countsByYear W28930197782021 @default.
- W2893019778 countsByYear W28930197782022 @default.
- W2893019778 countsByYear W28930197782023 @default.
- W2893019778 crossrefType "journal-article" @default.
- W2893019778 hasAuthorship W2893019778A5009306083 @default.
- W2893019778 hasAuthorship W2893019778A5025519373 @default.
- W2893019778 hasAuthorship W2893019778A5045777582 @default.
- W2893019778 hasAuthorship W2893019778A5049526350 @default.
- W2893019778 hasAuthorship W2893019778A5054280903 @default.
- W2893019778 hasAuthorship W2893019778A5066602150 @default.
- W2893019778 hasBestOaLocation W28930197781 @default.
- W2893019778 hasConcept C108583219 @default.
- W2893019778 hasConcept C119857082 @default.
- W2893019778 hasConcept C121687571 @default.
- W2893019778 hasConcept C144024400 @default.
- W2893019778 hasConcept C149635348 @default.
- W2893019778 hasConcept C150594956 @default.
- W2893019778 hasConcept C153180895 @default.
- W2893019778 hasConcept C154945302 @default.
- W2893019778 hasConcept C173801870 @default.
- W2893019778 hasConcept C2779304628 @default.
- W2893019778 hasConcept C2780150128 @default.
- W2893019778 hasConcept C36289849 @default.
- W2893019778 hasConcept C41008148 @default.
- W2893019778 hasConcept C45347329 @default.
- W2893019778 hasConcept C50644808 @default.
- W2893019778 hasConcept C81363708 @default.
- W2893019778 hasConcept C95623464 @default.
- W2893019778 hasConceptScore W2893019778C108583219 @default.
- W2893019778 hasConceptScore W2893019778C119857082 @default.
- W2893019778 hasConceptScore W2893019778C121687571 @default.
- W2893019778 hasConceptScore W2893019778C144024400 @default.
- W2893019778 hasConceptScore W2893019778C149635348 @default.
- W2893019778 hasConceptScore W2893019778C150594956 @default.
- W2893019778 hasConceptScore W2893019778C153180895 @default.
- W2893019778 hasConceptScore W2893019778C154945302 @default.
- W2893019778 hasConceptScore W2893019778C173801870 @default.
- W2893019778 hasConceptScore W2893019778C2779304628 @default.
- W2893019778 hasConceptScore W2893019778C2780150128 @default.
- W2893019778 hasConceptScore W2893019778C36289849 @default.
- W2893019778 hasConceptScore W2893019778C41008148 @default.
- W2893019778 hasConceptScore W2893019778C45347329 @default.
- W2893019778 hasConceptScore W2893019778C50644808 @default.
- W2893019778 hasConceptScore W2893019778C81363708 @default.
- W2893019778 hasConceptScore W2893019778C95623464 @default.
- W2893019778 hasFunder F4320321001 @default.
- W2893019778 hasLocation W28930197781 @default.
- W2893019778 hasLocation W28930197782 @default.
- W2893019778 hasOpenAccess W2893019778 @default.
- W2893019778 hasPrimaryLocation W28930197781 @default.
- W2893019778 hasRelatedWork W2556319748 @default.
- W2893019778 hasRelatedWork W2731899572 @default.
- W2893019778 hasRelatedWork W2999805992 @default.
- W2893019778 hasRelatedWork W3000866861 @default.
- W2893019778 hasRelatedWork W3021430260 @default.
- W2893019778 hasRelatedWork W3116150086 @default.
- W2893019778 hasRelatedWork W3133861977 @default.
- W2893019778 hasRelatedWork W4200173597 @default.