Multivariate gait data have traditionally been challenging to analyze. Part 1 of this review explored applications of fuzzy, multivariate statistical and fractal methods to gait data analysis. Part 2 extends this critical review to the applications of artificial neural networks and wavelets to gait data analysis. The review concludes with a practical guide to the selection of alternative gait d...

Human gait is one of the biometric methods used for identifying humans unobtrusively and from a distance. Gait analysis using wearable sensors is a low-cost, handy and capable way of providing valuable information for many applications. Gait analysis using wearable sensors shows great prospects in biometrics as well as in medical applications. With the development of sensor technology and the a...

Gait data are typically collected in multivariate form, so some multivariate analysis is often used to understand interrelationships between observed data. Principal Component Analysis (PCA), a data reduction technique for correlated multivariate data, has been widely applied by gait analysts to investigate patterns of association in gait waveform data (e.g., interrelationships between joint an...

Purpose: Considering the influence of horizontal velocity on many biomechanical characteristics of walking, the purpose of this study was to investigate how inter-lower-limbs local and global asymmetry is influenced by changes in walking speed from slow to fast. Methods: Ground reaction force data and trajectory of attached markers of bilateral lower limbs of 15 right leg-dominant able-bodied ...

Background Limited walking ability is an important problem for patients with multiple sclerosis (MS). A better understanding of how gait impairments lead to limited walking ability may help to develop more targeted interventions. Although gait classifications are available in stroke and cerebral palsy, relevant knowledge in MS is scarce. The purpose of this study is to identify distinctive gait...

BACKGROUND It is difficult to identify the range of gait deviations associated with juvenile idiopathic arthritis (JIA) using simple clinical observations. AIMS To use objective gait analysis to accurately describe biomechanical gait abnormalities in JIA and to search for common patterns, which may subsequently serve as a basis for therapeutic intervention. METHODS Children with persistent ...

Most existing wearable gait analysis methods focus on the analysis of data obtained from inertial sensors. This paper proposes a novel, low-cost, wireless and wearable gait analysis system which uses microphone sensors to collect footstep sound signals during walking. This is the first time a microphone sensor is used as a wearable gait analysis device as far as we know. Based on this system, a...