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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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2015
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| Subjects: | |
| 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 |