Feature optimization for recognizing food using power leakage from microwave oven
Pages 537 - 546
Abstract
This paper describes a feature optimization for a novel food recognition system based on the analysis of the power leakage from a microwave oven. Some microwave energy leak from the microwave oven and the leakage pattern changes according to the contents of the microwave oven and also the condition of these meals. Therefore, we collected the received signal strength indicator (RSSI) values during the heating process and analyzed these data by using machine learning method. We also evaluated the importance of each features to clarify which features are useful for food recognition or not. In the results, our study has successfully demonstrated that we can recognize what food is cooked in the microwave oven by monitoring the leakage.
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Index Terms
- Feature optimization for recognizing food using power leakage from microwave oven
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Published In
September 2014
1409 pages
ISBN:9781450330473
DOI:10.1145/2638728
- General Chairs:
- AJ Brush,
- Adrian Friday,
- Program Chairs:
- Julie Kientz,
- James Scott,
- Junehwa Song
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Published: 13 September 2014
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UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing
September 13 - 17, 2014
Washington, Seattle
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