Machine Learning Techniques for Gait Biometric Recognition
Mason, Eric James; Traore, Issa; Woungang, Isaac
€ 67.51
FREE Delivery in Ireland
Description for Machine Learning Techniques for Gait Biometric Recognition
Hardback. Num Pages: 223 pages, 3 black & white illustrations, 73 colour illustrations, 37 black & white tables, 2 colour. BIC Classification: TNKS; TTBM; UYQM; UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 555.
This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing ... Read more
This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing ... Read more
Product Details
Format
Hardback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
223
Condition
New
Number of Pages
223
Place of Publication
Cham, Switzerland
ISBN
9783319290867
SKU
V9783319290867
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Mason, Eric James; Traore, Issa; Woungang, Isaac
James Eric Mason obtained his BSEng and MASc from the University of Victoria, Canada, in 2009 and 2014, respectively. During his Master’s program, under the supervision of Dr. Issa Traore, his research focused primarily on biometric security solutions with a particular emphasis on the gait biometric. In 2014 he completed his thesis titled Examining the impact of Normalization and Footwear ... Read more
Reviews for Machine Learning Techniques for Gait Biometric Recognition