This paper surveys the current research directions of activity recognition using inertial
sensors, with potential application in healthcare, wellbeing and sports. The analysis of …

The market for smartphones, smartwatches, and wearable devices is booming. In recent
years, individuals and researchers have used these devices as additional tools to monitor …

The ubiquity of smartphones together with their ever-growing computing, networking, and
sensing powers have been changing the landscape of people's daily life. Among others …

Fixed placements of inertial sensors have been utilized by previous human activity
recognition algorithms to train the classifier. However, the distribution of sensor data is …

Recognizing human activity is very useful for an investigator about a patient's behavior and
can aid in prescribing activity in future recommendations. The use of body worn …

This paper presents an online construction algorithm for constructing fuzzy basis function
(FBF) classifiers that are capable of recognizing different types of human daily activities …

New approaches to chronic disease management within a home or community setting offer
patients the prospect of more individually focused care and improved quality of life. This …

Smart clothes increase the efficiency of long-term non-invasive monitoring systems by
facilitating the placement of sensors and increasing the number of measurement locations …

Body-worn sensor systems will help to revolutionize the medical field by providing a source
of continuously collected patient data. This data can be used to develop and track plans for …

Physical activity recognition using wearable sensors has gained significant interest from
researchers working in the field of ambient intelligence and human behavior analysis. The …