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Ergonomics. 2015;58(2):301-9. doi: 10.1080/00140139.2014.965754. Epub 2014 Oct 17.

Child body shape measurement using depth cameras and a statistical body shape model.

Author information

1
a Biosciences Group , University of Michigan Transportation Research Institute , Ann Arbor , MI , USA.

Abstract

We present a new method for rapidly measuring child body shapes from noisy, incomplete data captured from low-cost depth cameras. This method fits the data using a statistical body shape model (SBSM) to find a complete avatar in the realistic body shape space. The method also predicts a set of standard anthropometric data for a specific subject without measuring dimensions directly from the fitted model. Since the SBSM was developed using principal component (PC) analysis, we formulate an optimisation problem to fit the model in which the degrees of freedom are defined in PC-score space. The mean unsigned distance between the fitted-model based on depth-camera data and the high-resolution laser scan data was 9.4 mm with a standard deviation (SD) of 5.1 mm. For the torso, the mean distance was 2.9 mm (SD 1.4 mm). The correlations between standard anthropometric dimensions predicted by the SBSM and manually measured dimensions exceeded 0.9.

KEYWORDS:

anthropometry; child body shape measurement; depth camera; statistical body shape model; surface fitting

PMID:
25323820
DOI:
10.1080/00140139.2014.965754
[Indexed for MEDLINE]

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