Activity recognition systems are a large field of research and development, currently with a
focus on advanced machine learning algorithms, innovations in the field of hardware …

Because the number of elderly people is predicted to increase quickly in the upcoming
years,“aging in place”(which refers to living at home regardless of age and other factors) is …

Resource allocation in smart settings, more specifically in Internet of Things (IoT)
transportation, is challenging due to the complexity and dynamic nature of fog computing …

This paper investigates two major issues in using a tri-axial accelerometer-embedded
mobile phone for continuous activity monitoring, ie the difference in orientations and …

Smartphone based activity recognition has recently received remarkable attention in various
applications of mobile health such as safety monitoring, fitness tracking, and disease …

Recent advancements in visual sensor technologies have made behavior analysis practical
for in-home monitoring systems. The current in-home monitoring systems face several …

Activity recognition is an emerging field of research that enables a large number of human-
centric applications in the u-healthcare domain. Currently, there are major challenges facing …

Human activity recognition (HAR) is a prominent subfield of pervasive computing and also
provides context of many applications such as healthcare, education, and entertainment …

The thesis explores novel methods for Human Activity Recognition (HAR) using passive
radar with a focus on non-intrusive Wi-Fi Channel State Information (CSI) data. Traditional …

Current generation smartphone can be seen as one of the most ubiquitous device for
physical activity recognition. In this paper we proposed a physical activity recognizer to …