Fall is a major problem leading to serious injuries in geriatric populations. Sensor-based fall
risk assessment is one of the emerging technologies to identify people with high fall risk by …

Wearable sensor-based systems and devices have been expanded in different application
domains, especially in the healthcare arena. Automatic age and gender estimation has …

Stride segmentation represents important but challenging part of the gait analysis. Different
methods and sensor systems have been proposed for detection of markers for segmentation …

The utility of wearable sensors for continuous gait monitoring has grown substantially,
enabling novel applications on mobility assessment in healthcare. Existing approaches for …

Weight-bearing is a common behavior, whereas a load impact on human gait symmetry is
seldom considered. This study aims to propose and verify a gait symmetry detection model …

Idiopathic Parkinson's disease (PD) is the second most common neurodegenerative
disorder worldwide. It affects the nervous system, causing motor and non-motor …

Individuals with mobility impairments related to age, injury, or disease, often require the help
of an assistive device (AD) such as a cane to ambulate, increase safety, and improve overall …

This paper presents a concise, efficient, and adaptive step detection algorithm based on foot-
mounted inertial measurement unit sensors. The proposed method maps the temporal …

The researches on human behavior recognition have always on the trend, amongst which
the sensor-based recognition is one of the most important fields. While the performance of …

This paper proposes a novel approach for online, individualized gait analysis, based on an
adaptive periodic model of any gait signal. The proposed method learns a model of the gait …