Nowadays portable devices with more number of sensors are used for gait assessment and monitoring for elderly and disabled. However, the problem with using multiple sensors is that if they are placed on the same platform or base, there could be cross talk between them, which could change the signal amplitude or add noise to the signal. Hence, this study uses wavelet PCA as a signal processing t...

Most motion recognition research has required tight-fitting suits for precise sensing. However, tight-suit systems have difficulty adapting to real applications, because people normally wear loose clothes. In this paper, we propose a gait recognition system with flexible piezoelectric sensors in loose clothing. The gait recognition system does not directly sense lower-body angles. It does, howe...

This work presents a research which objective is to develop a software prototype like biometric system to recognize subjects with a gait analysis, for identification and verification environments, making use of a depth camera such as the Kinect Camera of Microsoft. This software will get some gait features and later, we will use the software WEKA for machine learning to extract, using several a...

Accelerometer-based gait recognition for mobile healthcare systems has became an attractive research topic in the past years. However, a major bottleneck of such system is it requires continuous sampling of accelerometer, which reduces battery life of wearable sensors. In this paper, we present KEHGait, which advocates use of output voltage signal from kinetic energy harvester (KEH) as the sour...

This paper presents the results of a project to evaluate different methods of gait cycle selection on the analysis of electromyography recorded during gait. Electromyography (EMG) describes the electrical activity associated with the muscle and is often interpreted in gait analysis using a simultaneously obtained signal to identify phases of the gait cycle. Phase transitions are often selected ...

Huntington's disease (HD) is a congenital, progressive, neurodegenerative disorder characterized by cognitive, motor, and psychological disorders. Clinical diagnosis of HD relies on the manifestation of movement abnormalities. In this study, we introduce a mathematical method for HD detection using step spacing. We used 16 walking signals as control and 20 walking signals as HD. We took a s...

Healthy gait requires a balance between various neuro-physiological systems and is considered an important indicator of a subject’s physical and cognitive health status. As such, health-related applications would immensely benefit by performing long-term or continuous monitoring of subjects’ gait in their natural environment and everyday lives. In contrast to stationary sensors such as motion c...

background & importance: idiopathic stenosis of the foramina of magendie and luschka is a rare cause of obstructive hydrocephalus involving the fourth ventricle. case presentation: we reported the case of a 40-year-old woman who developed headaches and vertigo for several months and more recently gait disturbance. the ct scan showed quadri-ventricular hydrocephalus involving mainly the fourth v...

Smartphones are very common devices in daily life that have a built-in tri-axial accelerometer. Similar to previously developed accelerometers, smartphones can be used to assess gait patterns. However, few gait analyses have been performed using smartphones, and their reliability and validity have not been evaluated yet. The purpose of this study was to evaluate the reliability and validity of ...