[Purpose] The effects of various rhythmic auditory stimulation tempos on stroke gait pattern changes when training patients with a smartphone-based rhythmic auditory stimulation application were investigated. [Subjects and Methods] Fifteen patients with chronic stroke were included. Cadence during comfortable walking was measured (baseline). After the baseline findings were recorded, rhythmic a...

Varus knee alignment is a risk factor for medial knee osteoarthritis and is associated with high knee adduction moments. Therefore, reducing the knee adduction moment in varus-aligned individuals with otherwise healthy knees may reduce their risk for developing osteoarthritis. A gait modification that improves dynamic knee alignment may reduce the adduction moment, and systematic training may l...

Human gait is the basic form of human locomotion and the most comfortable and economical way of movement in short distances [1,2]. Despite complex neural control the gait characterises with smooth and repeatable movements in human joints, which can be recorded by cinematographic methods. In the clinical applications gait stereotype is frequently used in human motion analysis to compare the obta...

Previous research indicates that an increased amount of step width variability in humans is associated with an unstable locomotive pattern. For example, the elderly have an increased amount of step width variability compared to their younger counterparts (Ownings & Grabiner, 2004). This notion is further supported by simulations from passive dynamic walking models. Twodimensional passive dynami...

Falls are one of the most serious implications of the gait disturbance in Neuro-degenerative disease. Some of the major Neuro-degenerative diseases include Parkinson’s Disease (PD), Amyotrophic Lateral Sclerosis (ALS), and Huntington Disease (HD). These diseases are generally unpredictable in their rate of progression and exhibition of degeneration. Neuro-degenerative diseases are caused by los...

This paper presents a system of identifying individuals by their gait patterns. We take into account various distinguishable features that can be extracted from a user's gait and then divide them into two classes: walking pattern and stepping pattern. The conditions we assume are that our target environments are domestic areas, the number of users is smaller than 10, and all users ambulate with...

Objective. To investigate quantitatively and objectively the effects of repeated muscle vibration (rMV) of triceps surae on the gait pattern in a 5-year-old patient with Cerebral Palsy with equinus foot deformity due to calf spasticity. Methods. The patient was assessed before and one month after the rMV treatment using Gait Analysis. Results. rMV had positive effects on the patient's gait patt...

Motion ability is one of the most important human properties, including gait as a basis of human transitional movement. Gait, as a biometric for recognizing human identities, can be non-intrusively captured signals using wearable or portable smart devices. In this study gait patterns is collected using a wireless platform of two sensors located at chest and right ankle of the subjects. Then the...

The authors have proposed a control system of a quadruped locomotion robot by using nonlinear oscillators. It is composed of a leg motion controller and a gait pattern controller. The leg motion controller drives the actuators of the legs by using local feedback control. The gait pattern controller involves nonlinear oscillators with mutual interactions. In this paper, capability of adaptation ...

We propose a novel methodology for predicting human gait pattern kinematics based on a statistical and stochastic approach using a method called Gaussian process regression (GPR). We selected 14 body parameters that significantly affect the gait pattern and 14 joint motions that represent gait kinematics. The body parameter and gait kinematics data were recorded from 113 subjects by anthropomet...