Wearable sensing devices (WSDs) have enormous promise for monitoring construction
worker safety. They can track workers and send safety-related information in real time …

Wearable recordings of neurophysiological signals captured from the wrist offer enormous
potential for seizure monitoring. Yet, data quality remains one of the most challenging factors …

Cardiovascular diseases are the leading cause of death in the UK, motivating the use of
long term wearable devices to monitor the heart in out-of-the-clinic settings. While a wide …

Wearable technologies are valuable tools that can encourage people to monitor their own
well-being and facilitate timely health interventions. In this paper, we present SPW-2; a low …

It is necessary to perform a numerical or a quadratic integral calculation on the acceleration
sensor data by rectangular integration, trapezoidal integration or Simpson integration, etc. to …

In theera of Internet of Things (IoT), sensor plays a more vital role and its quality has a great
impact on final measurement. From the viewpoint of final measurement, there are two kinds …

Accuracy evaluation in machine learning is based on the split of data into a training set and
a test set. This critical step is applied to develop machine learning models including models …

This paper shares experiences and lessons learned from designing and developing the
bespoke Internet of Things (IoT) sensing platforms of a sensor platform for healthcare in a …

Inertial sensors with microelectromechanical systems technology are an integral part of
many modern electronic devices such as wearable medical products, which are inherently …

Due to the COVID-19 global pandemic, there is more need for remote patient care,
especially in rehabilitation requiring direct contact. However, traditional Chinese …