Comparing Machine Learning Classifiers and Linear/Logistic Regression to Explore the Relationship between Hand Dimensions and Demographic Characteristics

----------------------------------------------------------------------------------------------------------------- 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. Stevenage 2 ,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).