This thesis describes a representation of gait appearance for the purpose of person identification and classification. This gait representation is based on simple localized image features such as moments extracted from orthogonal view video silhouettes of human walking motion. A suite of time-integration methods, spanning a range of coarseness of time aggregation and modeling of feature distrib...

This thesis describes a representation of gait appearance for the purpose of person identification and classification. This gait representation is based on simple localized image features such as moments extracted from orthogonal view video silhouettes of human walking motion. A suite of time-integration methods, spanning a range of coarseness of time aggregation and modeling of feature distrib...

The wide spread usage of wearable sensors such as in smart watches has provided continuous access to valuable user generated data such as human motion that could be used to identify an individual based on his/her motion patterns such as, gait. Several methods have been suggested to extract various heuristic and high-level features from gait motion data to identify discriminative gait signatures...

Gait analysis is a feasible approach for human identification in intelligent video surveillance. However, the effectiveness of the dominant silhouette-based approaches are severely affected by dressing, bag, hair style and the like. In this paper, we propose a useful 2-D structural feature, named skeleton-based feature, effective improvements for human pose estimation in human walking environme...

objectives: deterioration in postural control mechanisms is termed postural instability and results increased postural sway and many laboratory techniques and instruments are characterized by a wide range of neurological signs and symptoms to the medical management. thus the current study designed to assess the reliability of commonly used clinical measures of balance and determined normal valu...

Achieving a stable, human-like gait with a humanoid robot is a challenging problem. While several rather simple as well as more complex techniques exist to generate stable walking patterns, only little attention has been paid towards the resemblance to the human gait. Popular gaits, for example, apply the strategy to bend the knees and to swing the torso in lateral direction in order to ensure ...

BACKGROUND The gait movement is an essential process of the human activity and the result of collaborative interactions between the neurological, articular and musculoskeletal systems, working efficiently together. This explains why gait analysis is important and increasingly used nowadays for the diagnosis of many different types (neurological, muscular, orthopedic, etc.) of diseases. This pap...

We describe spatio-temporal symmetry and its extraction via a Generalised Symmetry Operator. Its use in gait recognition is reinforced by the view from psychology that human gait is a symmetrical pattern of motion. We show that by including temporal information in our symmetry calculations we are not recognizing people by their body shape but also by their motion. Here, the new technique is app...

The control of legged robots ean be inspired from how biological systems (living creatures) control movements. In this paper, an oscillator-based gait rhythm generator is designed, and a computed torque controller implements the movement of a four-link robot leg. The coupled oscillator network generates trajectories of the hip, knee, and ankle joint angles resulting in a gait similar to that of...

In this paper we describe a system for automatic gait analysis. Different kinds of human gait are recognized using sequences of grey–level images. No markers are needed to get the trajectories of different body parts. The tracking of body parts and the classification are based on statistical models. We model several body parts and the background as mixture densities. The positions are determine...