Matches in SemOpenAlex for { <https://semopenalex.org/work/W3030248081> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W3030248081 abstract "The feasibility of collecting various data from built-in wearable sensors has enticed many researchers to use these devices for analyzing human activities and behaviors. In particular, audio, video, and motion data have been utilized for automatic dietary monitoring. In this paper, we investigate the feasibility of detecting chewing activities based on audio and inertial sensor data obtained from an ear-worn device, eSense. We process each sensor data separately and determine the accuracy of each sensing modality for chewing detection when using MFCC and Spectral Centroid as features and Logistic Regression, Decision Tree, and Random Forest as classifiers. We also measure the performance of chewing detection when fusing features extracted from both audio and inertial sensor data. We evaluate the chewing detection algorithm by running a pilot study inside a lab environment on a total of 5 participants. This consists of 130 minutes audio and inertial measurement unit (IMU) data. The results of this study indicate that an in-ear IMU with an accuracy of 95% outperforms audio data in detecting chewing and fusing both modalities improves the accuracy to 97%." @default.
- W3030248081 created "2020-06-05" @default.
- W3030248081 creator A5010445045 @default.
- W3030248081 creator A5029686732 @default.
- W3030248081 creator A5033570971 @default.
- W3030248081 creator A5078907679 @default.
- W3030248081 date "2020-05-27" @default.
- W3030248081 modified "2023-10-02" @default.
- W3030248081 title "A comparison between audio and IMU data to detect chewing events based on an earable device" @default.
- W3030248081 cites W1973850182 @default.
- W3030248081 cites W1987108638 @default.
- W3030248081 cites W1987523869 @default.
- W3030248081 cites W2085731535 @default.
- W3030248081 cites W2103869314 @default.
- W3030248081 cites W2162226056 @default.
- W3030248081 cites W2314727285 @default.
- W3030248081 cites W2516020480 @default.
- W3030248081 cites W2535014029 @default.
- W3030248081 cites W2754998475 @default.
- W3030248081 cites W2755426661 @default.
- W3030248081 cites W2815783583 @default.
- W3030248081 cites W2896518452 @default.
- W3030248081 doi "https://doi.org/10.1145/3396339.3396362" @default.
- W3030248081 hasPublicationYear "2020" @default.
- W3030248081 type Work @default.
- W3030248081 sameAs 3030248081 @default.
- W3030248081 citedByCount "11" @default.
- W3030248081 countsByYear W30302480812020 @default.
- W3030248081 countsByYear W30302480812021 @default.
- W3030248081 countsByYear W30302480812022 @default.
- W3030248081 countsByYear W30302480812023 @default.
- W3030248081 crossrefType "proceedings-article" @default.
- W3030248081 hasAuthorship W3030248081A5010445045 @default.
- W3030248081 hasAuthorship W3030248081A5029686732 @default.
- W3030248081 hasAuthorship W3030248081A5033570971 @default.
- W3030248081 hasAuthorship W3030248081A5078907679 @default.
- W3030248081 hasConcept C146599234 @default.
- W3030248081 hasConcept C149635348 @default.
- W3030248081 hasConcept C150594956 @default.
- W3030248081 hasConcept C151989614 @default.
- W3030248081 hasConcept C153180895 @default.
- W3030248081 hasConcept C154945302 @default.
- W3030248081 hasConcept C169258074 @default.
- W3030248081 hasConcept C2780226545 @default.
- W3030248081 hasConcept C31972630 @default.
- W3030248081 hasConcept C41008148 @default.
- W3030248081 hasConcept C52622490 @default.
- W3030248081 hasConcept C79061980 @default.
- W3030248081 hasConceptScore W3030248081C146599234 @default.
- W3030248081 hasConceptScore W3030248081C149635348 @default.
- W3030248081 hasConceptScore W3030248081C150594956 @default.
- W3030248081 hasConceptScore W3030248081C151989614 @default.
- W3030248081 hasConceptScore W3030248081C153180895 @default.
- W3030248081 hasConceptScore W3030248081C154945302 @default.
- W3030248081 hasConceptScore W3030248081C169258074 @default.
- W3030248081 hasConceptScore W3030248081C2780226545 @default.
- W3030248081 hasConceptScore W3030248081C31972630 @default.
- W3030248081 hasConceptScore W3030248081C41008148 @default.
- W3030248081 hasConceptScore W3030248081C52622490 @default.
- W3030248081 hasConceptScore W3030248081C79061980 @default.
- W3030248081 hasLocation W30302480811 @default.
- W3030248081 hasOpenAccess W3030248081 @default.
- W3030248081 hasPrimaryLocation W30302480811 @default.
- W3030248081 hasRelatedWork W1976416492 @default.
- W3030248081 hasRelatedWork W2325200052 @default.
- W3030248081 hasRelatedWork W2370723160 @default.
- W3030248081 hasRelatedWork W2543148038 @default.
- W3030248081 hasRelatedWork W3003695190 @default.
- W3030248081 hasRelatedWork W3005023910 @default.
- W3030248081 hasRelatedWork W4205657394 @default.
- W3030248081 hasRelatedWork W4285265093 @default.
- W3030248081 hasRelatedWork W4315750480 @default.
- W3030248081 hasRelatedWork W4383748483 @default.
- W3030248081 isParatext "false" @default.
- W3030248081 isRetracted "false" @default.
- W3030248081 magId "3030248081" @default.
- W3030248081 workType "article" @default.