The purpose of this study is to find natural gait of biped robot such as human being by analyzing the COG (Center Of Gravity) trajectory of human being's gait. It is discovered that human beings gait naturally maintain the stability and use the minimum energy. This paper intends to find the natural gait pattern of biped robot using the minimum energy as well as maintaining the stability by anal...

Gait is the walking style or pattern of the human motions. This research aims to improve the accuracy of human gait recognition using the information provided by Microsoft Kinect. It benefits from a human joint positioning system by Kinect in three dimensions and proposes a new method in recognising the human gait. In this method, the angles between the body’s joints during the walking process ...

Mobility has been measured in the form of gait analysis – a method used to assess the physical functioning of a human. Many health-related clinical and pathological gait analysis applications have been proposed in the last decades. Gait analysis research has been predominantly conducted in laboratories in a discipline-specific manner. The main measurement approach is to monitor intrinsic gait p...

We present a nonlinear dynamical model of the human gait control system in a variety of gait regimes. The stride-interval time series in normal human gait is characterized by slightly multifractal fluctuations. The fractal nature of the fluctuations becomes more pronounced under both an increase and decrease in the average gait. Moreover, the long-range memory in these fluctuations is lost when...

We present a nonlinear stochastic model of the human gait control system in a variety of gait regimes. The stride interval time series in normal human gait is characterized by slightly multifractal fluctuations. The fractal nature of the fluctuations become more pronounced under both an increase and decrease in the average gait. Moreover, the long-range memory in these fluctuations is lost when...

Gait recognition is identifying human beings by the manner in which they walk. It has been shown by several researchers that human beings have the ability to recognize other people by their gait. Machine recognition of gait is becoming increasingly important for surveillance, awarespaces etc. A number of methods have been proposed by different researchers in the recent past for this purpose. Mo...

Human gait is a spatiotemporally complex motion, where each segment and joint motion during gait is coupled across other joints. These spatiotemporal joint coupling patterns are closely associated with musculoskeletal injury mechanics, but previous tools used to examine human gait have mainly focused on univariate measures such as stride, step length, maximum range of motion, and the durations ...

Recognition of any individual is a task to identify people. Human recognition methods such as face, fingerprints, and iris generally require user’s cooperation, physical contact or close proximity. These methods are not able to recognize an individual at a distance therefore recognition using gait is relatively new biometric technique without these disadvantages. Gait Energy Image (GEI) is an e...

This paper presents a human identification system based on automatically extracted gait features. The proposed approach consists of three parts: extraction of human gait features from enhanced human silhouette, smoothing process on extracted gait features and classification by three classification techniques: fuzzy knearest neighbour, linear discriminate analysis and linear support vector machi...