We introduce the curve spread as an efficient descriptor of front-view gait of humans walking towards a camera. The curve spread is a compact two-dimensional representation of the time-variations of a moving body outline. Most gait biometrics employ features derived from side-view videos because limb swings are more pronounced from the side than from the front. However, side-view observations a...

Gait and static body measurement are important biometric technologies for passive human recognition. Many previous works argue that recognition performance based completely on the gait feature is limited. The reason for this limited performance remains unclear. This study focuses on human recognition with gait feature obtained by Kinect and shows that gait feature can effectively distinguish fr...

The CASIA Gait Database is one of the most used benchmarks for gait analysis among the few non-smallsize datasets available. It is composed of gait sequences of 124 subjects, which are unequally distributed, comprising 31 women and 93 men. This imbalanced situation could correspond to some real contexts where men are in the majority, for example, a sports stadium or a factory. Learning from imb...

This study investigated the feasibility of gait recognition using points on the body in threedimensional (3D) space based on comparisons of four different feature vectors. To obtain the point trajectories on the body in 3D, gait motion data were captured from 10 participants using a 3D motion capture system, and four shoes with different heel heights were used to study the effects of heel heigh...

[Purpose] This study aimed to determine the correlation between accelerometer-based and treadmill-based analysis systems for measuring gait parameters during comfortable walking in healthy young adults. [Subjects and Methods] Twenty-three healthy adults participated in this study. Gait parameters were measured with simultaneous use of accelerometer-based and treadmill-based gait analysis system...

Our demonstration consists of a working activity and gait recognition system, implemented on a consumer smartphone. The activity recognition feature allows participants to train various activities, such as running, walking, or jumping, into the phone, and the system can then identify when those activities are performed. The gait recognition feature learns particular characteristics of how parti...

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We present a novel approach for human gait recognition that inherently combines appearance and motion. Dynamic texture descriptors, Local Binary Patterns from Three Orthogonal Planes (LBP-TOP), are used to describe human gait in a spatiotemporal way. We also propose a new coding of multiresolution uniform Local Binary Patterns and use it in the construction of spatiotemporal LBP histograms. We ...

One of the most important movements performed by the humans is gait. Biomechanical Gait analysis is usually by optical capture systems. However, such systems are expensive and sensitive to light and obstacles. In order to reduce those costs a system based on Inertial Measurements Units (IMU) is proposed. IMU are a good option to make movement analisys indoor with a low post-processing data, all...