Automatic eating detection in real-world settings with commodity sensing
Motivated by challenges and opportunities in nutritional epidemiology and food journaling, ubiquitous computing researchers have proposed numerous techniques for automated dietary monitoring (ADM) over the years. Although progress has been made, a truly practical system that can automatically recogn...
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| Format: | Others |
| Language: | en_US |
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Georgia Institute of Technology
2016
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| Online Access: | http://hdl.handle.net/1853/54933 |