Evaluation of cupboard door sensors for improving activity recognition in the kitchen

Samuel Whitehouse, Kristina Yordanova, Stefan Lüdtke, Adeline T M Paiement, Majid Mirmehdi

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)
55 Downloads (Pure)

Abstract

Smart home systems are becoming increasingly relevant with every passing year, but while the technology is more available than ever, other issues such as cost and intrusiveness are becoming more apparent. To this end, we consider the types of sensors which are most useful for fine-grained activity recognition in the kitchen in terms of cost, intrusiveness, durability and ease of installation. We install sensors into a conventional residence for testing, and propose a system which meets the design challenges such an environment presents. We show that cupboard door sensors produce useful data about access to certain non mechanical processes and items, while being cheap and simple. We also show that they positively impact the activity recognition performance of our model through their addition, while providing information that we can make use of in future studies.
Original languageEnglish
Title of host publicationIEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)978-1-5386-3227-7
ISBN (Print)978-1-5386-3228-4
DOIs
Publication statusPublished - 8 Oct 2018
Event2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) - Kyoto, Japan
Duration: 11 Mar 201915 Mar 2019
Conference number: 18
http://www.percom.org/Previous/ST2019/home.html

Conference

Conference2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Abbreviated titlePerCom 2019
CountryJapan
CityKyoto
Period11/03/1915/03/19
Internet address

Structured keywords

  • Digital Health

Keywords

  • Activity recognition
  • Monitoring
  • Hardware
  • Universal Serial Bus
  • Software

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  • Projects

    SPHERE (EPSRC IRC)

    Craddock, I. J., Coyle, D. T., Flach, P. A., Kaleshi, D., Mirmehdi, M., Piechocki, R. J., Stark, B. H., Ascione, R., Ashburn, A. M., Burnett, M. E., Damen, D., Gooberman-Hill, R. J. S., Harwin, W. S., Hilton, G., Holderbaum, W., Holley, A. P., Manchester, V. A., Meller, B. J., Stack, E. & Gilchrist, I. D.

    1/10/1330/09/18

    Project: Research, Parent

    Cite this

    Whitehouse, S., Yordanova, K., Lüdtke, S., Paiement, A. T. M., & Mirmehdi, M. (2018). Evaluation of cupboard door sensors for improving activity recognition in the kitchen. In IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom) Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PERCOMW.2018.8480352