research-article

Yet another approach for food recognition: monitoring power leakage from microwave oven

Authors:

Wei Wei,

Akihiro Nakamata,

Yoshihiro Kawahara,

Tohru AsamiAuthors Info & Claims

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

Pages 187 - 190

https://doi.org/10.1145/2638728.2638748

Published: 13 September 2014 Publication History

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Abstract

In this paper, we demonstrate a food recognition method by monitoring power leakage from a domestic microwave oven. Universal Software Radio Peripheral (USRP) is applied as a low-cost spectrum analyzer to measure the microwave oven leakage as received signal strength indication (RSSI). We aim to recognize 18 categories of food that are commonly cooked with a microwave oven. By analyzing 184 features designed after analyzing the features of measured RSSI, we attain an average recognition accuracy of 82.3% with various distances between the microwave oven and the USRP and different data downsampling frequencies for raw data processing.

References

[1]

Aizawa, K., De Silva, C., Ogawa, M. and Sato, Y. 2013. Food balance estimation by using personal dietary tendencies in a multimedia food log. In Multimedia, IEEE Transactions on, vol. 15, Issue 8, 2176--2185, 2013.

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[2]

Sebastian, P., Matthias, W. and Wolf, F. 2011. Food intake recognition conception for wearable devices. In MobileHealth '11 Proceedings of the First ACM MobiHoc Workshop on Pervasive Wireless Healthcare (2011), No. 7.

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[3]

Kawahara, Y., Bian, X., Shigeta, R., Narusue, Y., Rushi V., Tentzeris, M. and Asami, T. 2013. Power Harvesting from Microwave Oven Electromagnetic Leakage. Ubicomp'13 (2013), Zurich, Switzerland.

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[4]

Rondeau, T. W., D'Souza, M. F. and Sweeney, D. G. 2004. Residential microwave oven interference on Bluetooth data performance. In Consumer Electronics, IEEE Transactions on. Vol. 50. Issue 3. pp.856--863.

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Yet another approach for food recognition: monitoring power leakage from microwave oven
1. Hardware

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Published In

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

September 2014

1409 pages

ISBN:9781450330473

DOI:10.1145/2638728

General Chairs:
AJ Brush
Microsoft Research
,
Adrian Friday
Lancaster University, UK
,
Program Chairs:
Julie Kientz
University of Washington
,
James Scott
Microsoft Research, UK
,
Junehwa Song
Korea Advanced Institute of Science and Technology (KAIST), KR

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

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Published: 13 September 2014

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UbiComp '14

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UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing

September 13 - 17, 2014

Washington, Seattle

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Abstract

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Recommendations

Feature optimization for recognizing food using power leakage from microwave oven

Optimization of a door seal structure of a microwave oven using a FDTD method

Neural network optimization of complex microwave structures with a reduced number of full-wave analyses

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