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

Miguel-Hurtado, Oscar and Guest, Richard and Stevenage, Sarah V. and Neil, GJ and Black, S (2016) Hand images and lengths dataset: Comparing Machine Learning Classifiers and Linear/Logistic Regression to Explore the Relationship between Hand Dimensions and Demographic Characteristics. Website. Located at: http://dx.doi.org/10.5281/zenodo.17487. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Official URL
http://dx.doi.org/10.5281/zenodo.17487

Abstract

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).

Item Type: Datasets / databases
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Tina Thompson
Date Deposited: 07 Nov 2016 10:35 UTC
Last Modified: 08 Nov 2016 16:20 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/58435 (The current URI for this page, for reference purposes)
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