Comparing Machine Learning Classifiers and Linear/Logistic Regression to Explore the Relationship between Hand Dimensions and Demographic Characteristics
- 1. University of Kent
- 2. University of Southampton
- 3. University of Dundee
Description
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Data for "Comparing Machine Learning Classifiers and Linear/Logistic Regression to Explore the Relationship between Hand Dimensions and Demographic Characteristics" (PLOSONE)
Oscar Miguel-Hurtado1, Richard Guest1, Sarah V. Stevenage2,Greg J. Neil2,Sue Black3
- 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
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For more information please contact: O.Miguel-Hurtado-98@kent.ac.uk (Oscar Miguel)
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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.
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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).
