The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
On-Body Sensing Solutions for Automatic Dietary Monitoring
Open accessAbstract
In this paper, various on-body sensors can gather vital information about an individual's food intake. Such data can both help weight-loss professionals personalize programs for clients and inform nutrition research on eating behaviors.
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Citations
Cites
Long-term weight loss maintenance
Wing, R. R., & Phelan, S. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/82.1.222s · Cited by 1,941
Limitations in the assessment of dietary energy intake by self-report
Schoeller, D. A. (1995) · Metabolism · doi:10.1016/0026-0495(95)90204-x · Cited by 496
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage
Patterson, D. J., Fox, D., Kautz, H., & Philipose, M. (2005) · Ninth IEEE International Symposium on Wearable Computers (ISWC'05) · doi:10.1109/iswc.2005.22 · Cited by 452
Analysis of Chewing Sounds for Dietary Monitoring
Amft, O., Stäger, M., Lukowicz, P., & Tröster, G. (2005) · Lecture Notes in Computer Science · doi:10.1007/11551201_4 · Cited by 216
Self-citationUsing instrumented paper diaries to document self-monitoring patterns in weight loss
Burke, L. E., Sereika, S. M., Music, E., Warziski, M., Styn, M. A., & Stone, A. (2008) · Contemporary Clinical Trials · doi:10.1016/j.cct.2007.07.004 · Cited by 129
Farshchi, H. R., Taylor, M. A., & Macdonald, I. A. (2004) · International Journal of Obesity · doi:10.1038/sj.ijo.0802616 · Cited by 110
Research works printed but not linked: 12
- 10.1111/j.1440-1746.2005.03997.x · doi:10.1111/j.1440-1746.2005.03997.x
- 10.1016/0031-9384(90)90235-V · DOI
- 10.1080/00140130210136963 · doi:10.1080/00140130210136963
- parker, 1995, Postprandial Mesenteric Blood Flow in Humans: Relationship to Endogenous Gastrointestinal Hormone Secretion and Energy Content of Food, European Journal of Gastroenterology & Hepatology, 435
- 10.1078/0018-442X-00035 · DOI
- 10.1007/978-3-540-70994-7_41 · DOI
- 10.1016/j.patcog.2007.11.016 · DOI · Paper page
- 10.1016/j.artmed.2007.11.007 · DOI · Paper page
- 10.1109/PCTHEALTH.2006.361624 · DOI
- 10.1016/0003-9969(65)90060-9 · DOI · Paper page
- witschi, 1990, Short-Term Dietary Recall and Recording Methods, Nutritional Epidemiology, 4, 52
- 10.1007/BF01535995 · DOI
Cited by
Activity recognition on streaming sensor data
Krishnan, N. C., & Cook, D. J. (2014) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2012.07.003 · Cited by 488
LifeLogging: Personal Big Data
Gurrin, C., Smeaton, A. F., & Doherty, A. R. (2014) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000033 · Cited by 434
BodyScope: a wearable acoustic sensor for activity recognition
Yatani, K., & Truong, K. N. (2012) · Proceedings of the 2012 ACM Conference on Ubiquitous Computing · doi:10.1145/2370216.2370269 · Cited by 310
Fit4life: the design of a persuasive technology promoting healthy behavior and ideal weight
Purpura, S., Schwanda, V., Williams, K., Stubler, W., & Sengers, P. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979003 · Cited by 264
Bite Weight Prediction From Acoustic Recognition of Chewing
Amft, O., Kusserow, M., & Troster, G. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2015873 · Cited by 123
Self-citation
Metadata
- Authors
- Amft, O., & Troster, G.
- Venue
- IEEE Pervasive Computing
- Published
- 2009-04
- Volume
- 8
- Issue
- 2
- Pages
- 62-70
- ISSN
- 1536-1268 (ISSN-L)
- OpenAlex
- W2022198541
- Cited by
- 175
- References
- 6
- FWCI
- 5.24
- Type
- journal article
- Language
- en
- Open access
- green
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- Amft, O., & Troster, G. (2009). On-Body Sensing Solutions for Automatic Dietary Monitoring. IEEE Pervasive Computing. https://doi.org/10.1109/mprv.2009.32
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
