Current challenges demand a profound restructuration of the global healthcare system. A
more efficient system is required to cope with the growing world population and increased …

Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …

Distinct gait characteristics like short steps and shuffling gait are prototypical signs
commonly observed in Parkinson's disease. Routinely assessed by observation through …

We propose an efficient hand gesture recognition (HGR) algorithm, which can cope with
time-dependent data from an inertial measurement unit (IMU) sensor and support real-time …

This paper presents a comprehensive exposition of deep learning architectures and
pipelines for biometric applications using complex characteristics of human gait. The variety …

Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …

Deep learning (DL) pipelines have evolved for over a decade now and are efficient at
solving many challenging problems of image and signal processing applications. Designing …

Human gait data can be collected using inertial measurement units (IMUs). An IMU is an
electronic device that uses an accelerometer and gyroscope to capture three-axial linear …

New smart technologies and the internet of things increasingly play a key role in healthcare
and wellness, contributing to the development of novel healthcare concepts. These …

Digital technologies provide the opportunity to analyze gait patterns in patients with
Parkinson's Disease using wearable sensors in clinical settings and a home environment …