Comparing Machine Learning Classifiers And Linear/Logistic Regression To Explore The Relationship Between Hand Dimensions And Demographic Characteristics

Miguel-Hurtado, Oscar, Guest, Richard, Stevenage, Sarah, Neil, Gregory and Black, Sue (2016) Comparing Machine Learning Classifiers And Linear/Logistic Regression To Explore The Relationship Between Hand Dimensions And Demographic Characteristics. Zenodo doi:10.5281/zenodo.17487 [Dataset]

Abstract

Data for "Comparing Machine Learning Classifiers and Linear/Logistic Regression to Explore the Relationship between Hand Dimensions and Demographic Characteristics" (PLOSONE) Oscar Miguel-Hurtado 1, Richard Guest 1, Sarah V. Stevenage2,Greg J. Neil 2, Sue Black 3  1 School of Engineering and Digital Arts, University of Kent, Canterbury, UK 2 Department of Psychology, University of Southampton, Southampton, UK 3 Centre for Anatomy and Human Identification, University of Dundee, Dundee, UK For more information please contact: O.Miguel-Hurtado-98@kent.ac.uk (Oscar Miguel) The zip contains right and left hand geometry images  from 112 participants. The images were captured using a Nikon D200 SLR camera (format: jpg, size: 3504x2336 pixels), with both the palm of the hand and camera facing downwards. Participants placed each hand on an acetate sheet with a series of positioning pegs. The excel contains a series of length measurements (based on the underlying skeleton of the hand) manually extracted (see Figure 1 for details) along with demographic information from the participants: sex (male or female), height (in cm), weight (in kg) and foot size (in UK sizes).

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Contributors

Creator: Richard Guest

Creator: Sarah Stevenage

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