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An exploration of the feasibility of using Google Glass for dietary assessment

Lookup NU author(s): Leonie Mauerhoefer, Pia Kawelke, Ivan Poliakov, Professor Patrick OlivierORCiD, Dr Emma Foster

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This is the final published version of a report that has been published in its final definitive form by School of Computing Science, University of Newcastle upon Tyne, 2014.

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Abstract

To test the feasibility of Google Glass as a tool for dietary assessment, two studies were conducted. The first study consisted of a one-day trial (N=7) in order to capture food intake over a day and create a memory aid for food recalls and revealed, in addition to information about usability and privacy issues, that only 0.7% of all pictures taken were food related and that the images didn’t capture every intake that took place in the observed time span. In a second study these results were further explained in a controlled feeding context, in that just 22.1% of the pictures allowed food identification due to partly visible food components and even fewer, only 1.3% of all pictures, showed the full plate, good enough for identification and estimation of portion size. To sum it up, without modification in the field of privacy protection, comfort and an adjustable prism, Google Glass in its current form is not feasible for dietary assessment research.

Publication metadata

Author(s): Mauerhoefer L, Kawelke P, Poliakov I, Olivier P, Foster E

Publication type: Report

Publication status: Published

Series Title: School of Computing Science Technical Report Series

Year: 2014

Pages: 7

Print publication date: 14/05/2014

Source Publication Date: May 2014

Report Number: 1419

Institution: School of Computing Science, University of Newcastle upon Tyne

Place Published: Newcastle upon Tyne

URL: http://www.cs.ncl.ac.uk/publications/trs/papers/1419.pdf

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