Abstract

Deriving a person's energy expenditure accurately forms the foundation for tracking physical activity levels across many health and lifestyle monitoring tasks. In this study, the authors present a method for estimating calorific expenditure from combined visual and accelerometer sensors by way of an RGB-Depth camera and a wearable inertial sensor. The proposed individual-independent framework fuses information from both modalities which leads to improved estimates beyond the accuracy of single modality and manual metabolic equivalents of task (MET) lookup table based methods. For evaluation, the authors introduce a new dataset called SPHERE_RGBD + Inertial_calorie, for which visual and inertial data are simultaneously obtained with indirect calorimetry ground truth measurements based on gas exchange. Experiments show that the fusion of visual and inertial data reduces the estimation error by 8 and 18% compared with the use of visual only and inertial sensor only, respectively, and by 33% compared with a MET-based approach. The authors conclude from their results that the proposed approach is suitable for home monitoring in a controlled environment.

Original languageEnglish
Pages (from-to)36-47
Number of pages12
JournalIET Computer VIsion
Volume12
Issue number1
Early online date31 Jan 2018
DOIs
Publication statusPublished - 1 Feb 2018

Structured keywords

  • Digital Health

Keywords

  • Digital Health

Fingerprint Dive into the research topics of 'Energy expenditure estimation using visual and inertial sensors'. Together they form a unique fingerprint.

  • 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

    Datasets

    SPHERE-Calorie

    Tao, L. (Creator), Mirmehdi, M. (Contributor), Hannuna, S. L. (Contributor), Burghardt, T. (Contributor), Aldamen, D. (Contributor), Tao, L. (Contributor), Craddock, I. J. (Contributor), Paiement, A. (Contributor), Camplani, M. (Contributor) & Craddock, I. J. (Data Manager), University of Bristol, 31 Oct 2016

    Dataset

    Cite this