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Sensors 2015, 15(12), 31999-32019; doi:10.3390/s151229907

One Small Step for a Man: Estimation of Gender, Age and Height from Recordings of One Step by a Single Inertial Sensor

1
Department of Computer Science II, Universität Bonn, Bonn 53113, Germany
2
Gokhale Method Institute, Stanford, CA 94305, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Panicos Kyriacou
Received: 2 October 2015 / Revised: 9 December 2015 / Accepted: 11 December 2015 / Published: 19 December 2015
(This article belongs to the Collection Sensors for Globalized Healthy Living and Wellbeing)
View Full-Text   |   Download PDF [992 KB, uploaded 19 December 2015]   |  

Abstract

A number of previous works have shown that information about a subject is encoded in sparse kinematic information, such as the one revealed by so-called point light walkers. With the work at hand, we extend these results to classifications of soft biometrics from inertial sensor recordings at a single body location from a single step. We recorded accelerations and angular velocities of 26 subjects using integrated measurement units (IMUs) attached at four locations (chest, lower back, right wrist and left ankle) when performing standardized gait tasks. The collected data were segmented into individual walking steps. We trained random forest classifiers in order to estimate soft biometrics (gender, age and height). We applied two different validation methods to the process, 10-fold cross-validation and subject-wise cross-validation. For all three classification tasks, we achieve high accuracy values for all four sensor locations. From these results, we can conclude that the data of a single walking step (6D: accelerations and angular velocities) allow for a robust estimation of the gender, height and age of a person. View Full-Text
Keywords: estimation of soft biometrics; gender, age and height estimation from inertial data; gait analysis; inertial sensors to estimate gender, age and height; accelerometers estimation of soft biometrics; gender, age and height estimation from inertial data; gait analysis; inertial sensors to estimate gender, age and height; accelerometers
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Riaz, Q.; Vögele, A.; Krüger, B.; Weber, A. One Small Step for a Man: Estimation of Gender, Age and Height from Recordings of One Step by a Single Inertial Sensor. Sensors 2015, 15, 31999-32019.

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