Human Gait Analysis using Wearable Sensors (Paperback) (ISBN-13: 9783846555545)

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.

Author: Hewa Balisane, Waqar Ahmed, Peter Twigg
ISBN-10: 3846555541
ISBN-13: 9783846555545
Publisher: LAP Lambert Academic Publishing
Language: English
Published: 01/06/2012
Pages: 156
Format: Paperback
Weight: 0.52lbs
Size: 9.00h x 6.00w x 0.36d