Gait analysis of patients with neurological disorders, including multiple sclerosis (MS), is important for rehabilitation and treatment. The Mircrosoft Kinect sensor, which was developed for motion recognition in gaming applications, is an ideal candidate for an inexpensive system providing the capability for human gait analysis. In this research, we develop a framework to quantify the gait abn...

BACKGROUND With brain aging, cognition and gait deteriorate in several domains. However, the interrelationship between cognitive and gait domains remains unclear. We investigated the independent associations between cognitive and gait domains in a community-dwelling population. METHODS In the Rotterdam Study, 1232 participants underwent cognitive and gait assessment. Cognitive assessment incl...

Parkinson's disease (PD) is a common, debilitating neurodegenerative disease. Gait disturbances are a frequent cause of disability and impairment for patients with PD. This article provides a brief introduction to PD and describes the gait changes typically seen in patients with this disease. A major focus of this report is an update on the study of the fractal properties of gait in PD, the rel...

Gait disturbance is common in patients with Alzheimer's disease (AD). The aim of this study was to analyse the clinical gait syndromes of patients with AD using Nutt's classification. Fifty-five patients who satisfied the NINCDS-ADRDA criteria for probable AD and 55 controls were recruited from a geriatric and a psychogeriatric unit. Patients with classical musculoskeletal or neurological syndr...

[Purpose] The purpose of this study was to compare the gait parameters of age-matched people with a normal gait (≥ 65 years), age-matched people with knee pain, and age-matched people with walker dependent gait at a self-selected gait speed. [Methods] Subjects walked on even ground in bare feet and were allowed a natural arm swing on a 6-m walkway. Walker-dependent participants walked on a walk...

With growing ageing population, acquiring joint measurements with sufficient accuracy for reliable gait assessment is essential. Additionally, the quality of gait analysis relies heavily on accurate feature selection and classification. Sensor-driven and one-camera optical motion capture systems are becoming increasingly popular in the scientific literature due to their portability and cost-eff...

Cognitive difficulties and gait abnormalities both increase with age. We review normal and pathologic changes in both gait and cognition in older adults. Gait performance in older individuals is linked to specific cognitive changes, in particular in executive function. Structural and functional assays highlight the shared anatomic control of cognitive and gait function, mostly in the prefrontal...

The estimation of gait temporal parameters with wearable inertial measurement units (IMU) has been a research topic of interest in clinical gait analysis. Several methods, based on the use of a single IMU, have been proposed for their estimate, showing in most cases a sufficiently low number of missed and extra events and a satisfactory accuracy when applied to the gait of healthy subjects. In ...

Recognition of any individual is a task to identify people. Human recognition methods such as face, fingerprints, and iris generally require user’s cooperation, physical contact or close proximity. These methods are not able to recognize an individual at a distance therefore recognition using gait is relatively new biometric technique without these disadvantages. Gait Energy Image (GEI) is an e...

Gait disorders in the elderly are a major cause of falls and accidents. They also interfere badly with the quality of life and the psychosocial well-being. The prevalence of these disorders is very high: 15% of the persons over 65 years and about 25% of those over 75 years suffer from gait disorders. The cause of gait disorders can be a specific disease, but in the elderly, multiple causes are ...