Demo: Smartwatch based food diary and eating analytics
Monitoring an individual’s daily dietary intake can provide various insights regarding the health of the individual. Applications such as My Fitness Pal exists, which allows individuals to monitor all items that the individual consumed. However, manual monitoring can be labour intensive. To overcome...
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sg-smu-ink.sis_research-42832021-03-26T04:29:43Z Demo: Smartwatch based food diary and eating analytics SEN, Sougata SUBBARAJU, Vigneshwaran MISRA, Archan LEE, Youngki BALAN, Rajesh Krishna Monitoring an individual’s daily dietary intake can provide various insights regarding the health of the individual. Applications such as My Fitness Pal exists, which allows individuals to monitor all items that the individual consumed. However, manual monitoring can be labour intensive. To overcome this limitation, wrist worn sensor based eating habit monitoring has been studied by various researchers. These systems can detect eating gesture, but they cannot determine what is being eaten. We have built a system which can (i) detect eating gesture using the smartwatch's inertial sensors (ii) use the smartwatch's camera to capture images of food consumed at opportune moment and (iii) present the images to the user at the end of day. Key challenges in building the system are : (i) limited battery (ii) diversity in eating style and (iii) latency in camera triggering. 2016-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3281 info:doi/10.1145/2938559.2938569 https://ink.library.smu.edu.sg/context/sis_research/article/4283/viewcontent/9924678.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Numerical Analysis and Scientific Computing Software Engineering |
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Computer Sciences Numerical Analysis and Scientific Computing Software Engineering SEN, Sougata SUBBARAJU, Vigneshwaran MISRA, Archan LEE, Youngki BALAN, Rajesh Krishna Demo: Smartwatch based food diary and eating analytics |
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Monitoring an individual’s daily dietary intake can provide various insights regarding the health of the individual. Applications such as My Fitness Pal exists, which allows individuals to monitor all items that the individual consumed. However, manual monitoring can be labour intensive. To overcome this limitation, wrist worn sensor based eating habit monitoring has been studied by various researchers. These systems can detect eating gesture, but they cannot determine what is being eaten. We have built a system which can (i) detect eating gesture using the smartwatch's inertial sensors (ii) use the smartwatch's camera to capture images of food consumed at opportune moment and (iii) present the images to the user at the end of day. Key challenges in building the system are : (i) limited battery (ii) diversity in eating style and (iii) latency in camera triggering. |
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text |
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SEN, Sougata SUBBARAJU, Vigneshwaran MISRA, Archan LEE, Youngki BALAN, Rajesh Krishna |
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SEN, Sougata SUBBARAJU, Vigneshwaran MISRA, Archan LEE, Youngki BALAN, Rajesh Krishna |
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SEN, Sougata |
title |
Demo: Smartwatch based food diary and eating analytics |
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Demo: Smartwatch based food diary and eating analytics |
title_full |
Demo: Smartwatch based food diary and eating analytics |
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Demo: Smartwatch based food diary and eating analytics |
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Demo: Smartwatch based food diary and eating analytics |
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demo: smartwatch based food diary and eating analytics |
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Institutional Knowledge at Singapore Management University |
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2016 |
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https://ink.library.smu.edu.sg/sis_research/3281 https://ink.library.smu.edu.sg/context/sis_research/article/4283/viewcontent/9924678.pdf |
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