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Biometrics is concerned with measurement and analysis of a universal, unique and measurable physiological or behavioural characteristic. Biometric data is taken from individuals, extracting feature sets from the data and comparing it with the enrolment set in a database. Existing analyses techniques using wearable sensors are applied to gait analyses in children for biometric gait recognition. The performance degradation for children walking compared to adult walking is approximately 100%. A 6.21% Equal Error Rate (EER) for adult gait recognition was reached compared to 12.69% for children. Carrying an object showed that the performance actually improved compared to normal walking. However, faster walking was unstable resulting in a higher Equal Error Rate (EER). Age and gender differences showed significant variations in EER values. A coupled approach of statistical time-domain and frequency domain methods was employed to match biometric gait signals. Using root mean squared, crest-factor and kurtosis obtained similar matches in gait signals of children for the ages of 5-16 than for the traditional methods.
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Waqar Ahmed is Director of the Institute of Advanced Manufacturing and Innovation at the School of Computing, Technology and Applied Sciences of the University of Central Lancashire, UK. He obtained his PhD in Chemistry from the University of Salford/Strathclyde and holds a certificate in business administration from the University of Warwick. Before pursuing his academic career he worked as an engineer and operations manager in various British companies. Waqar Ahmed acts as editor-in-chief for four international journals devoted to nanomanufacturing and biomaterials and as vice-president of the Society of Nanoscience & Nanotechnology.
