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, Guest, Richard, Stevenage, Sarah V., Neil, GJ, 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) (KAR id:58435)

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.
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.

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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).

Item Type:	Datasets / databases
Subjects:	T Technology
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Tina Thompson
Date Deposited:	07 Nov 2016 10:35 UTC
Last Modified:	17 Aug 2022 12:21 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/58435 (The current URI for this page, for reference purposes)

University of Kent Author Information

Miguel-Hurtado, Oscar.

Creator's ORCID:
CReDIT Contributor Roles:

Guest, Richard.

Creator's ORCID:	https://orcid.org/0000-0001-7535-7336
CReDIT Contributor Roles:

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