A robust classification scheme for detection of food intake through non-invasive monitoring of chewing

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作者：
Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35487, United States [1 ]
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来源：
Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS | 2012年 / 4891-4894期
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Compendex;
D O I：
34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
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摘要：
Support vector machines
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