Wearable systems have unlocked new sensing paradigms in various applications such as
human activity recognition, which can enhance effectiveness of mobile health applications …

Human activity recognition is a core component of context-aware, ubiquitous computing
systems. Traditionally, this task is accomplished by analysing signals of wearable motion …

Sleep is a critical aspect of an individual's physical and mental well-being. Hence a large
body of sleep monitoring solutions has been gaining popularity, including data-driven AI …

Recognizing daily activities with unobtrusive sensors in smart environments enables various
healthcare applications. Monitoring how subjects perform activities at home and their …

In Ambient Assisted Living (AAL) systems and personal assistive robots, human behavior
analysis is essential to provide intelligent services intended to improve people's quality of …

To study users' travel behaviour and travel time between origin and destination, researchers
employ travel surveys. Although there is consensus in the field about the potential, after over …

Human behaviour analysis through smartphone devices has been an active field for more
than a decade and there are still a lot of key aspects to be addressed. This paper surveys …

Advances in mobile and wearable devices are making it feasible to deploy sensing systems
at a large-scale. However, slower progress is being made in activity recognition which …

Advancement in smart sensing and computing technologies has provided a dynamic
opportunity to develop intelligent systems for human activity monitoring and thus assisted …

Due to the popularity of smart mobile phones and context-aware technology, various
contextual data relevant to users' diverse activities with mobile phones is available around …