Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
by James Eric Mason, Issa Traoré and Isaac Woungang
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Fulfillment optionsMachine Learning Techniques for Gait Biometric Recognition
This book
· introduces novel machine-learning-based temporal normalization techniques
· bridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based person recognition
· provides detailed discussions of key research challenges and open research issues in gait biometrics recognition· compares biometrics systems trained and tested with the same footwear against those trained and tested with different footwear
Details
- Publisher
- Springer International Publishing
- Authors
- James Eric Mason, Issa Traoré, Isaac Woungang
- Format
- Hardcover
- Published
- Feb 12, 2016
- ISBN-13
- 9783319290867
- Pages
- 223
- Printing
- Printed on demand
Machine Learning Techniques for Gait Biometric Recognition for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $48.39 | 12% off list |
| 50 – 99 | $47.84 | 13% off list |
| 100+ | $47.29 | 14% off list |
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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
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