Human identification by gait has created a great deal of interest in computer vision community due to its advantage of inconspicuous recognition at a relatively far distance. Biometric systems are becoming increasingly important, since they provide more reliable and efficient means of identity verification. Biometric gait Analysis (i.e. recognizing people from the way they walk) is one of the r...

Human gait, a biometric aimed to recognize individuals by the way they walk has recently come to play an increasingly important role in visual surveillance applications. Most of the existing approaches in this area, however, have mostly been evaluated without explicitly considering the most relevant gait features, which might have compromised the performance. In this paper, we have investigated...

It is widely known that an appropriately built unpowered bipedal robot can walk down inclined surface with a passive steady gait. The features of such gait are determined by the robot's geometry and inertial properties, as well slope angle. energy needed to keep biped moving steadily comes from gravitational potential it descends surface. study natural motions could lead ideas for managing acti...

Arm swing during human gait has been shown to reduce both angular momentum about the vertical and energy expenditure, and has been hypothesized to enhance gait stability. To examine this hypothesis, we studied the effect of arm swing on the local and global stability of steady-state gait, as well as the ability to perform adequate recovery actions following a perturbation. Trunk kinematics of 1...

Gait disturbances similar to those of human Parkinson's disease (PD) can be observed in animals after administration of neurotoxin 6-hydroxydopamine (6-OHDA) to induce unilateral nigrostriatal dopamine depletion. However, the relationship between gait disturbances and dopamine depletion following 6-OHDA infusion has not been determined. The present study investigated the longitudinal changes of...

The studies of human body motion have been motivated by a large number of application domains: visual surveillance, clinical analysis, computer animation, athletic performance analysis, robotics, and biometrics. Moreover, human motion analysis has many challenging issues, because the highly flexible structure and self-occlusion of the human body mandates complicated processes for the segmentati...

We examine the relationship between human motion and emotions. With recent improvement of sensing technologies, although precise human motion can be measured, the amount of data grows enormously. In this paper, we propose a new analysis method which can describe large amount of data rationally. This method can be used to classify human motions associated with specific emotions. Our approach to ...

Human gait is a spatio-temporal phenomenon that characterizes the motion characteristics of an individual. It is possible to detect and measure gait even in lowresolution video. In this chapter, we discuss algorithms for identifying people by their gait from a monocular video sequence. Human identification using gait, similar to text-based speaker identification, involves different individuals ...

Abstract Strolling is a complex activity that requires the synchronization of brain, anxiety, and muscles, as well rhythmic movement lower limbs. Gait may be abnormal if coordination disrupted. As result, exoskeletons should used to treat it effectively. The connection other systems contained in could mimic behavior human leg. These mechanisms are created utilizing traditional methods. This stu...

This paper presents a review on the development of affordable optical based gait analysis systems at Institut Teknologi Bandung. The development started with a 2D inverse dynamic analysis of human gait using five linkages based on an experimental motion data. Using a simple system consist of a camera, LED markers and a PC, the position of the markers were obtained by capturing and processing di...