Matches in SemOpenAlex for { <https://semopenalex.org/work/W2968451567> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2968451567 endingPage "3481" @default.
- W2968451567 startingPage "3481" @default.
- W2968451567 abstract "The objective of our project is to develop an automatic survey system for road condition monitoring using smartphone devices. One of the main tasks of our project is the classification of paved and unpaved roads. Assuming recordings will be archived by using various types of vehicle suspension system and speeds in practice, hence, we use the multiple sensors found in smartphones and state-of-the-art machine learning techniques for signal processing. Despite usually not being paid much attention, the results of the classification are dependent on the feature extraction step. Therefore, we have to carefully choose not only the classification method but also the feature extraction method and their parameters. Simple statistics-based features are most commonly used to extract road surface information from acceleration data. In this study, we evaluated the mel-frequency cepstral coefficient (MFCC) and perceptual linear prediction coefficients (PLP) as a feature extraction step to improve the accuracy for paved and unpaved road classification. Although both MFCC and PLP have been developed in the human speech recognition field, we found that modified MFCC and PLP can be used to improve the commonly used statistical method." @default.
- W2968451567 created "2019-08-22" @default.
- W2968451567 creator A5003348826 @default.
- W2968451567 creator A5059977188 @default.
- W2968451567 creator A5060528852 @default.
- W2968451567 date "2019-08-09" @default.
- W2968451567 modified "2023-10-04" @default.
- W2968451567 title "Feature Extraction Methods Proposed for Speech Recognition Are Effective on Road Condition Monitoring Using Smartphone Inertial Sensors" @default.
- W2968451567 cites W1840860027 @default.
- W2968451567 cites W1972269696 @default.
- W2968451567 cites W1996367218 @default.
- W2968451567 cites W2090861223 @default.
- W2968451567 cites W2130640900 @default.
- W2968451567 cites W2137075158 @default.
- W2968451567 cites W2526848653 @default.
- W2968451567 cites W2622632229 @default.
- W2968451567 cites W2755428875 @default.
- W2968451567 cites W2781598438 @default.
- W2968451567 doi "https://doi.org/10.3390/s19163481" @default.
- W2968451567 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6720715" @default.
- W2968451567 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31395828" @default.
- W2968451567 hasPublicationYear "2019" @default.
- W2968451567 type Work @default.
- W2968451567 sameAs 2968451567 @default.
- W2968451567 citedByCount "18" @default.
- W2968451567 countsByYear W29684515672020 @default.
- W2968451567 countsByYear W29684515672021 @default.
- W2968451567 countsByYear W29684515672022 @default.
- W2968451567 countsByYear W29684515672023 @default.
- W2968451567 crossrefType "journal-article" @default.
- W2968451567 hasAuthorship W2968451567A5003348826 @default.
- W2968451567 hasAuthorship W2968451567A5059977188 @default.
- W2968451567 hasAuthorship W2968451567A5060528852 @default.
- W2968451567 hasBestOaLocation W29684515671 @default.
- W2968451567 hasConcept C138885662 @default.
- W2968451567 hasConcept C151989614 @default.
- W2968451567 hasConcept C153180895 @default.
- W2968451567 hasConcept C154945302 @default.
- W2968451567 hasConcept C2776401178 @default.
- W2968451567 hasConcept C28490314 @default.
- W2968451567 hasConcept C41008148 @default.
- W2968451567 hasConcept C41895202 @default.
- W2968451567 hasConcept C52622490 @default.
- W2968451567 hasConceptScore W2968451567C138885662 @default.
- W2968451567 hasConceptScore W2968451567C151989614 @default.
- W2968451567 hasConceptScore W2968451567C153180895 @default.
- W2968451567 hasConceptScore W2968451567C154945302 @default.
- W2968451567 hasConceptScore W2968451567C2776401178 @default.
- W2968451567 hasConceptScore W2968451567C28490314 @default.
- W2968451567 hasConceptScore W2968451567C41008148 @default.
- W2968451567 hasConceptScore W2968451567C41895202 @default.
- W2968451567 hasConceptScore W2968451567C52622490 @default.
- W2968451567 hasIssue "16" @default.
- W2968451567 hasLocation W29684515671 @default.
- W2968451567 hasLocation W29684515672 @default.
- W2968451567 hasLocation W29684515673 @default.
- W2968451567 hasLocation W29684515674 @default.
- W2968451567 hasLocation W29684515675 @default.
- W2968451567 hasOpenAccess W2968451567 @default.
- W2968451567 hasPrimaryLocation W29684515671 @default.
- W2968451567 hasRelatedWork W2016461833 @default.
- W2968451567 hasRelatedWork W2148609665 @default.
- W2968451567 hasRelatedWork W2350343535 @default.
- W2968451567 hasRelatedWork W2382607599 @default.
- W2968451567 hasRelatedWork W2546942002 @default.
- W2968451567 hasRelatedWork W2811390910 @default.
- W2968451567 hasRelatedWork W2988724699 @default.
- W2968451567 hasRelatedWork W3197541072 @default.
- W2968451567 hasRelatedWork W40124310 @default.
- W2968451567 hasRelatedWork W4312387790 @default.
- W2968451567 hasVolume "19" @default.
- W2968451567 isParatext "false" @default.
- W2968451567 isRetracted "false" @default.
- W2968451567 magId "2968451567" @default.
- W2968451567 workType "article" @default.