Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

In recent years, the use of inertial measurement unit (IMU)-based motion capture (Mocap)
systems in rehabilitation has grown significantly. This paper aimed to provide an overview of …

Our aim is to maximize the interpretable information for gait analysis. To achieve this, it is
important to find the optimal sensor placement and the parameters that influence the …

Abstract Machine based analysis and prediction systems are widely used for diagnosis of
Alzheimer's Disease (AD). However, lower accuracy of existing techniques and lack of post …

This contribution provides a systematic literature review of Human Activity Recognition for
Production and Logistics. An initial list of 1243 publications that complies with predefined …

Wearable sensors such as inertial measurement units (IMUs) have been widely used to
measure the quantity of physical activities during daily living in healthy and people with …

Today's human activity recognition is an important part of healthcare and ambient-assisted
living where accelerometer and gyroscope sensors provide the raw data about physical …

Objective analysis of gait abilities (Gait Analysis, GAn) in clinic is an essential motor
assessment to improve clinical decision-making and provide precision rehabilitation …

Many tests can crudely quantify age-related mobility decrease but instrumented versions of
mobility tests could increase their specificity and sensitivity. The Timed-up-and-Go (TUG) …

Background Wearable sensors have the potential to provide clinicians with access to motor
performance of people with movement disorder as they undergo intervention. However …