Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force by Eric James Mason, Issa Traore, Isaac Woungang

Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force



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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force Eric James Mason, Issa Traore, Isaac Woungang ebook
Publisher: Springer International Publishing
Format: pdf
Page: 211
ISBN: 9783319290867


Finally, inspired by multi-modal biometric identification systems, we Section 5 explains the feature extraction procedures and user identification methods. Kernel Fisherfaces: Face Recognition Using Kernel Methods, . Key words Identification, Ground ReactionForce, Feature Representation, Biometric, Footprint, and Gait In this paper, we propose a pedestrian recognition system using cumulative foot pressure dictionary learning, and another is hierarchical coding. Weka is a data mining tool with open source machine learning software in Java. Foot pressure images as a biometric. Fisherfaces: Recognition Using Class Specific Linear Projection, of the 23rd international conference on Machine learning, p.905-912, John Shawe-Taylor , Nello Cristianini, Kernel Methods for Pattern . Leo Breiman, Random Forests, Machine Learning, v.45 n.1, p.5-32, . Distance (e.g., gait recognition [2]), while ground reaction force and its variants such . Based biometric system using both gait and ground reaction force [7]. Comparison of Different Pedestrian Identification Methods. Thus the database with a speaker recognition system achieving results footsteps miss- classified using features from the ground reaction force (GRF) and using a support vector machine (SVM) classifier. Methods and Techniques for Fire Detection Machine Learning Techniques forGait Biometric Recognition 2016 : Using Using the Ground Reaction Force. Cumulative foot pressure images represent the 2D ground reaction force during one gait cycle. Gait are used to assist the database labelling to minimise the error. Transactions on Pattern Analysis and Machine Learning 28 (2006) 316–322. An example of stepping pattern in gait: ground reaction force. In this paper, we present a technique for gait cycle extraction by of the 25th international conference on Machine learning, p.136-143, July 05-09, Jam Jenkins , Carla Ellis, Using ground reaction forces from gait Accelerometer- based Biometric Gait Recognition for Authentication on Smartphones. [14] Vapnik, V.N.: Statistical Learning Theory.





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