gait contains important information about the status of the human body and physiological signs. in many medical applications, it isimportant to monitor and accurately analyze the gait of the patient. since walking shows the reproducibility signs in several phases,separating these phases can be used for the gait analysis. in this study, a method based on image processing for extracting phases of...

Quadruped robots have unique capabilities for motion over uneven natural environments. This article presents a stable gait for a quadruped robot in such motions and discusses the inverse-dynamics control scheme to follow the planned gait. First, an explicit dynamics model will be developed using a novel constraint elimination method for an 18-DOF quadruped robot. Thereafter, an inverse-dynamics...

objectives: the purpose of this study was to evaluate the concurrent validity of the farsi version of functional gait assessment (fga), timed up & go (tug), and gait speed tests in persian communitydwelling older adults. methods: subjects were 100 males in falling or no falling history group (50 subjects in each group). subjects were community-dwelling adults aged 60-90 years who were living in...

This work consists in analyzing and controlling the walk of compass-type bipedal walker order to stabilize its passive dynamic gait. The walking compass-gait is modeled by an impulsive hybrid nonlinear system. nature considered very complex as it can generate unwanted phenomena such chaos bifurcations. We show first means bifurcation diagrams varying slope angle surface also length lower leg se...

People prefer gaits that minimize their energetic cost. Research focused on step frequency selection suggests that a fast predictive process and a slower optimization process underlie this energy optimization. Our purpose in this study was to test whether the mechanisms controlling step frequency selection are used more generally to select one of the most relevant characteristics of walking - p...

This paper presents a strategy to find an optimal gait for the model of the biomimetic swimmer developed at Caltech to transit forward minimizing control effort, or the integral of squared angular acceleration of the two joints. According to the previous works, it is accepted that a series of sinusoidal-type gaits generates forward transition. Using this sinusoidal gaits as initial guess for op...

Human gait recognition (HGR) has received a lot of attention in the last decade as an alternative biometric technique. The main challenges are change in-person view angle and covariant factors. major factors walking while carrying bag wearing coat. Deep learning is new machine technique that gaining popularity. Many techniques for HGR based on deep presented literature. requirement efficient fr...

External feedback in the form of visual, auditory and tactile cues has been used to assist patients overcome mobility challenges. However, these can become less effective over time. There is limited research on adapting account for inter intra-personal variations cue responsiveness. We propose a cue-provision framework that consists gait performance monitoring algorithm an adaptive cueing strat...