This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …

Gait dysfunctions and balance impairments are key fall risk factors and associated with
reduced quality of life in individuals with Parkinson's Disease (PD). Smartphone-based …

To clarify the risk factors and propagation characteristics affecting railway safety, we learn
from historical reports to build a connected network of hazards and accidents, forming a …

Introduction: Accurately assessing people's gait, especially in real-world conditions and in
case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in …

Many algorithms use 3D accelerometer and/or gyroscope data from inertial measurement
unit (IMU) sensors to detect gait events (ie, initial and final foot contact). However, these …

The high-speed railway is a deeply coupled system with strong and weak electrical
equipment, while complex electromagnetic interference (EMI) consequently brings potential …

In recent years, there has been a growing interest in develo** and evaluating gait analysis
algorithms based on inertial measurement unit (IMU) data, which has important implications …

In this study, a wearable inertial measurement unit system was introduced to assess patients
via the Berg balance scale (BBS), a clinical test for balance assessment. For this purpose …

Parkinson's disease (PD) is characterized by a variety of motor and non-motor symptoms,
some of them pertaining to gait and balance. The use of sensors for the monitoring of …

This paper presents a wearable wireless system for measuring human body activities,
consisting of small inertial sensor nodes and the main hub for data transmission via …