| Human Gait Analysis using Wearable Sensors Contributor(s): Balisane, Hewa (Author), Ahmed, Waqar (Author), Twigg, Peter (Author) |
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ISBN: 3846555541 ISBN-13: 9783846555545 Publisher: LAP Lambert Academic Publishing OUR PRICE: $60.53 Product Type: Paperback Published: January 2012 |
| Additional Information |
| BISAC Categories: - Mathematics | Functional Analysis |
| Physical Information: 0.36" H x 6" W x 9" (0.52 lbs) 156 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |