A comparative home activity monitoring study using visual and inertial sensors

Lili Tao, Tilo Burghardt, Sion L Hannuna, Massimo Camplani, Adeline T M Paiement, Dima Aldamen, Majid Mirmehdi, Ian J Craddock

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Abstract

Monitoring actions at home can provide essential information for rehabilitation management. This paper presents a comparative study and a dataset for the fully automated, sample-accurate recognition of common home actions in the living room environment using commercial-grade, inexpensive inertial and visual sensors. We investigate the practical home-use of body-worn mobile phone inertial sensors together with an Asus Xmotion RGB-Depth camera to achieve monitoring of daily living scenarios. To test this setup against realistic data, we introduce the challenging SPHERE-H130 action dataset containing 130 sequences of 13 household actions recorded in a home environment. We report automatic recognition results at maximal temporal resolution, which indicate that a vision-based approach outperforms accelerometer provided by two phone-based inertial sensors by an average of 14.85% accuracy for home actions. Further, we report improved accuracy of a vision-based approach over accelerometry on particularly challenging actions as well as when generalising across subjects.
Original languageEnglish
Title of host publication2015 17th International Conference on E-health Networking, Application & Services (HealthCom 2015)
Subtitle of host publicationProceedings of a meeting held 14-17 October 2015, Boston, MA, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages644-647
Number of pages4
ISBN (Electronic)9781467383257
ISBN (Print)9781467383264
DOIs
Publication statusPublished - Apr 2016
Event2015 17th International Conference on E-health Networking, Application & Services (HealthCom) - Boston, MA, United States
Duration: 14 Oct 201517 Oct 2015
Conference number: 17

Conference

Conference2015 17th International Conference on E-health Networking, Application & Services (HealthCom)
Abbreviated titleHealthCom 2015
CountryUnited States
CityBoston, MA
Period14/10/1517/10/15

Structured keywords

  • Digital Health

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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., Aldamen, 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

    Tao, L., Burghardt, T., Hannuna, S. L., Camplani, M., Paiement, A. T. M., Aldamen, D., Mirmehdi, M., & Craddock, I. J. (2016). A comparative home activity monitoring study using visual and inertial sensors. In 2015 17th International Conference on E-health Networking, Application & Services (HealthCom 2015): Proceedings of a meeting held 14-17 October 2015, Boston, MA, USA (pp. 644-647). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HealthCom.2015.7454583