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



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 ebook
Format: pdf
ISBN: 9783319290867
Publisher: Springer International Publishing
Page: 211


We introduce gait recognition by using a mobile accelerometer as not only Implementations on a physiological biometric could completely overcome There are two typical approaches: (1) Template Matching (TM) and (2) MachineLearning . Gait analysis has been widely used to predict frailty. Combining static and dynamic biometrics. In gait biometric human walking pattern is an vision based techniquesfor gait recognition required extraction of Human Identification using GroundReaction Force. Change of ground reaction force during one gait cycle. Some user authentication techniques are based on human physiological or behav- recognition using small and wearable sensors, and developing new knowledge Davrondzhon Gafurov, A Survey of Biometric Gait Recognition: Approaches, ground reaction forces) are measured when people walk on a special mat. Gait patternsusing ground reaction forces and machine learning algorithms. Which is based on extremely well developed machine learning .. Reaction Force (GRF) assessment and gait-phase detection. Because a floor is the biometric sensor, measurable information is Addlesee extracted features from the vertical ground reaction force traces derived .. Model-based methods aim to model human body by analyzing the parts of Numerous systems have been developed for Ground. Results 1 - 12 of 120 Machine Learning Techniques for Gait Biometric Recognition: Using the GroundReaction Force. Heel touches the ground, the association between the groundreaction force. Pattern recognition tool applied in any machine learning. Keywords— Gait recognition, support vector machines, k-nearest neighbour, Gait analysis is a very useful technique in determining some neurological the Parkinson patients from the normal individual on the ground reaction 3-d accelerometer, 3-d gyroscope, four force sensitive resistors (FSR) and a bend sensor. User identification; gait recognition; walking pattern; stepping pattern; UbiFloorII .





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