Abstract Body Sensor Networks (BSNs) have emerged as a revolutionary technology in
many application domains in health-care, fitness, smart cities, and many other compelling …

Fall detection is a major challenge in the public health care domain, especially for the
elderly, and reliable surveillance is a necessity to mitigate the effects of falls. The technology …

This research aims to describe pattern recognition models for detecting behavioural and
health-related changes in a patient who is monitored continuously in an assisted living …

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 …

Becoming proficient in a sport requires significant investment in training. Traditional training
approaches such as training with a partner or an expert, and training with the help of …

Athlete external load is typically analysed from predetermined movement thresholds. The
combination of movement sequences and differences in these movements between playing …

Human activity recognition is a hot topic in the field of pervasive computing and context
aware computing, and may support lots of potential applications, such as healthcare, smart …

In this paper, we present a system using an Android smartphone that collects, displays
sensor data on the screen and streams to the central server simultaneously. Bluetooth and …

Recent advances in the areas of pervasive computing, data mining, and machine learning
offer unique opportunities to provide health monitoring and assistance for individuals facing …

Timed-Up-and-Go (TUG) is a simple, easy to administer, and frequently used test for
assessing balance and mobility in elderly and people with Parkinson's disease. An …