The Case for Smartwatch-based Diet Monitoring

We explore the use of gesture recognition on a wrist-worn smartwatch as an enabler of an automated eating activity (and diet monitoring) system. We show, using small-scale user studies, how it is possible to use the accelerometer and gyroscope data from a smartwatch to accurately separate eating epi...

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Bibliographic Details
Main Authors: SEN, Sougata, SUBBARAJU, Vigneshwaran, MISRA, Archan, BALAN, Rajesh Krishna, LEE, Youngki
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
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Online Access:https://ink.library.smu.edu.sg/sis_research/2677
https://ink.library.smu.edu.sg/context/sis_research/article/3677/viewcontent/2015_Sougata_Sen_Smartwatch_Diet_av.pdf
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Institution: Singapore Management University
Language: English
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