Advancements in medical science and technology, medicine and public health coupled with
increased consciousness about nutrition and environmental and personal hygiene have …

Abstract The Internet of Things (IoT) is an ecosystem that integrates physical objects,
software and hardware to interact with each other. Aging of population, shortage of …

This paper serves as a survey and empirical evaluation of the state-of-the-art in activity
recognition methods using accelerometers. The paper is particularly focused on long-term …

Detection and interpretation of human activities have emerged as a challenging healthcare
problem in areas such as assisted living and remote monitoring. Besides traditional …

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 …

Smart health home systems and assisted living architectures rely on severely energy-
constrained sensing devices, such as wearable sensors, for the generation of data and their …

The uprising of Internet of Things (IoT) has dramatically influenced the world's technology in
terms of interoperability, connectivity and interconnectivity with help of smart sensors …

Digitization of human motion using skeleton representations offers exciting possibilities for a
large number of applications but, at the same time, requires innovative techniques for their …

Healthcare professionals currently lack the means to gather unbiased and quantitative multi-
modal data about the long-term behaviors of patients in their home environments. SPHERE …

The development of a machine-learning-based human activity recognition (HAR) system
using body-worn sensors is mainly composed of three phases: data collection, model …