Machine learning techniques for gait biometric recognition : using the ground reaction force /: using the ground reaction force. ([2016])
- Record Type:
- Book
- Title:
- Machine learning techniques for gait biometric recognition : using the ground reaction force /: using the ground reaction force. ([2016])
- Main Title:
- Machine learning techniques for gait biometric recognition : using the ground reaction force
- Further Information:
- Note: James Eric Mason, Issa Traoré, Isaac Woungang.
- Authors:
- Mason, James Eric
Traore, Issa, 1965-
Woungang, Isaac - Contents:
- Introduction -- Background -- Experimental Design and Dataset -- Feature Extraction.-Normalization -- Classification -- Measured Performance -- Experimental Analysis -- Conclusion.
- Publisher Details:
- Switzerland : Springer
- Publication Date:
- 2016
- Copyright Date:
- 2016
- Extent:
- 1 online resource
- Subjects:
- 006.31
Engineering
Machine learning
Biometric identification
COMPUTERS -- General
Biometric identification
Machine learning
Computers -- Computer Vision & Pattern Recognition
Technology & Engineering -- Engineering (General)
Pattern recognition
Security & fire alarm systems
Biometrics
Technology & Engineering -- Electronics -- General
Imaging systems & technology
Electronic books - Languages:
- English
- ISBNs:
- 9783319290881
3319290886 - Related ISBNs:
- 331929086X
9783319290867 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (Ebsco, viewed February 10, 2016). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.372274
- Ingest File:
- 01_357.xml