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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fontana, J.M. Farooq, M. Sazonov, E. |
| Copyright Year | 1964 |
| Abstract | Objective monitoring of food intake and ingestive behavior in a free-living environment remains an open problem that has significant implications in study and treatment of obesity and eating disorders. In this paper, a novel wearable sensor system (automatic ingestion monitor, AIM) is presented for objective monitoring of ingestive behavior in free living. The proposed device integrates three sensor modalities that wirelessly interface to a smartphone: a jaw motion sensor, a hand gesture sensor, and an accelerometer. A novel sensor fusion and pattern recognition method was developed for subject-independent food intake recognition. The device and the methodology were validated with data collected from 12 subjects wearing AIM during the course of 24 h in which both the daily activities and the food intake of the subjects were not restricted in any way. Results showed that the system was able to detect food intake with an average accuracy of 89.8%, which suggests that AIM can potentially be used as an instrument to monitor ingestive behavior in free-living individuals. |
| Sponsorship | IEEE Engineering in Medicine and Biology Society |
| Page Count | 8 |
| File Size | 1055020 |
| Starting Page | 1772 |
| Ending Page | 1779 |
| File Format | |
| ISSN | 00189294 |
| Volume Number | 61 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Monitoring Biomedical monitoring Feature extraction Pattern recognition Obesity Wearable sensors Smart phones wearable sensors Automatic ingestion monitor (AIM) chewing eating disorders food intake (FI) detection obesity pattern recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biomedical Engineering |
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