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A Rule-Based Assistant System for Managing the Clothing Cycle

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Book cover Mobile Networks for Biometric Data Analysis

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 392))

Abstract

A lot of people need help in their daily life to wash, select and manage their clothing. The goal of this work is to design an assistant system (eKlarA) to support the user by giving recommendations to choose the clothing combinations, to find the clothing and to wash the clothing. The idea behind eKlarA is to generate a system that uses sensors to identify the clothing and their state in the clothing cycle. The clothing cycle consists of the stations: closets, laundry basket and washing machine in one or several places. The system uses the information about the clothing, weather and calendar to support the user in the different steps of the clothing cycle. The first prototype of this system has been developed and tested. The test results are presented in this work.

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Notes

  1. 1.

    Press announcement of NXP: http://www.marketwired.com/press-release/rfid-nfc-enabled-smart-washing-machine-detects-fabric-supports-remote-maintenance-nasdaq-nxpi-1626149.htm.

  2. 2.

    Overview of different RFID washing machines: http://www.appliancedesign.com/articles/93065-smart-washer-demo-features-rfid--nfc.

  3. 3.

    Website of the Raspberry Pi project: http://www.raspberrypi.org/.

  4. 4.

    Website of the OSGi Consortium: http://www.osgi.org/.

  5. 5.

    Website of the Apache Felix Project: http://felix.apache.org/.

  6. 6.

    Website of the Apache Karaf Project: http://karaf.apache.org/.

  7. 7.

    Website of the OpenweatherMap project: http://OpenweatherMap.org/.

References

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Correspondence to Thomas Walzer .

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© 2016 Springer International Publishing Switzerland

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Walzer, T., Yay, E., Martínez Madrid, N. (2016). A Rule-Based Assistant System for Managing the Clothing Cycle. In: Conti, M., Martínez Madrid, N., Seepold, R., Orcioni, S. (eds) Mobile Networks for Biometric Data Analysis. Lecture Notes in Electrical Engineering, vol 392. Springer, Cham. https://doi.org/10.1007/978-3-319-39700-9_5

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  • DOI: https://doi.org/10.1007/978-3-319-39700-9_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39698-9

  • Online ISBN: 978-3-319-39700-9

  • eBook Packages: EngineeringEngineering (R0)

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