Analysis of Chewing Sounds for Dietary Monitoring
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Eating behaviours are analysed using audio collected from smartwatches and earables.
“Eating behaviours are also analysed using audio collected from smartwatches and earables [47,51,85].”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [47]
Bone conducted sounds collected via wearables have been analysed for health applications.
“In addition to the normal airborne sound, bone conducted sounds collected via wearables have also been analysed for health application, which is generally collected via earables or sensors placed near neck.”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [47]
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- Authors
- Amft, O., Stäger, M., Lukowicz, P., & Tröster, G.
- Affiliations
- ETH Zurich (CH)
- UMIT TIROL - Private University for Health Sciences and Health Technology (AT)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2005
- Pages
- 56-72
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2162226056
- Cited by
- 216
- References
- 35
- Citations by year
- 2025: 3 · 2024: 7 · 2023: 5 · 2022: 8 · 2021: 16 · 2020: 21 · 2019: 15 · 2018: 13 · 2017: 19 · 2016: 19 · 2015: 15 · 2014: 5 · 2013: 8 · 2012: 11
- FWCI
- 5.89
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- TU/e Research Portal (publishedVersion)
- TU/e Research Portal (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Phonocardiography and Auscultation Techniques
- Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
- Keywords
- dietary monitoring, eating detection, unobtrusive sensing, ubiquitous systems, cardiovascular disease prevention
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