We study the problem of analyzing and classifying frontal view gait video data. In this study, we suppose that frontal view gait data as a mixing of scale changing, human movements and speed changing parameters. We estimate these parameters using the statistical registration and modeling on a video data. Our gait model is based on human gait structure and temporal-spatial relations between came...

This paper aims for analyzing gait to investigate feature values related to gait transformation using 3D(Dimensional) human data in order to conceal a personal identification. Biometric data including fingerprint, iris, vein, and gait etc., are distinctive characteristics that certificate individuals. Gait is useful even if it is taken from faraway place. A Kinect is used to obtain gait data. 3...

We study the problem of analyzing and classifying frontal view gait video data. In this study, we suppose that frontal view gait data as a mixing of scale changing, human movements and speed changing parameters. We estimate these parameters using the statistical registration and modeling on a video data. Our gait model is based on human gait structure and temporal-spatial relations between came...

The link between mental representation (MREP) structures and motor performance has been evidenced for a great variety of movement skills, but not for the human gait. Therefore the present study sought to investigate the cognitive memory structures underlying the human gait in young and older adults. In a first experiment, gait parameters at comfortable gait speed (OptoGait) were compared with g...

Many applications, both cooperative and hostile, require the ability to identify humans. This paper proposes a method that exploits the biometric property of human gait to identify people. A single sensor composed of an accelerometer and gyroscope is used to record gait characteristics. Using a Direct Form II Transpose, gait cycles are extracted and compressed to their characteristic features. ...

Microsoft Kinect is a motion sensing device that allows us to conveniently capture human body motions and extract skeletal data. For biometric from human gait, Kinect lets us extract more kind and more complicated gait features which help improve identification accuracy. This paper proposes biometric from human gait technique from view independent gait analysis based on the Kinect’s motion trac...

Human gait is one of the biometric methods used for identifying humans unobtrusively and from a distance. Gait analysis using wearable sensors is a low-cost, handy and capable way of providing valuable information for many applications. Gait analysis using wearable sensors shows great prospects in biometrics as well as in medical applications. With the development of sensor technology and the a...