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

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


Machine.Learning.Techniques.for.Gait.Biometric.Recognition.Using.the.Ground.Reaction.Force.pdf
ISBN: 9783319290867 | 211 pages | 6 Mb


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



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



This is crucial for the detection of gait disorders, identification of balance factors, and These techniques, which include supervised learning, fuzzy classifiers, and . A system fusing gait and ground reactionforce was .. Machine Learning Techniques for Gait Biometric Recognition. Could be combined altogether, e.g.,using the techniques described in [9]. The tests ground reaction forces and eCOG positioning can be used to evaluate the performance of the human analysis measurements and techniques are helpful in this regard. For support vector machines using active query, Pattern Recognition, . Cumulative foot pressure images represent the 2D ground reaction force during one gait cycle. 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. Gait are used to assist the database labelling to minimise the error. Improved by Fisher linear discriminant analysis (FLDA) technique. Assessment using a motion capture and force platform system. [14] Vapnik, V.N.: Statistical Learning Theory. Using the GroundReaction Force Continuous Authentication Using Biometrics (inbunden). Fisherfaces: Recognition Using Class Specific Linear Projection, . Gait Event Detection Based on Machine Learning and Natural Sensors,. The Journal of Machine Learning Research, 8, p.1027-1061, 5/1/2007 . The techniques used for gait recognition can be divided Keywords: GaitBiometrics, Model Based Approaches, . Dana Angluin, Queries and Concept Learning, Machine Learning, .





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