The design of sustainable wireless sensor networks (WSNs) is a very challenging issue. On
the one hand, energy-constrained sensors are expected to run autonomously for long …

Today's mobile phones are far from the mere communication devices they were 10 years
ago. Equipped with sophisticated sensors and advanced computing hardware, phones can …

Human context recognition (HCR) from on-body sensor networks is an important and
challenging task for many healthcare applications because it offers continuous monitoring …

Background: A major cause of lapse and relapse to smoking during a quit attempt is craving
triggered by cues from a smoker's immediate environment. To help smokers address these …

Remarkable advances in smartphone technology, especially in terms of passive sensing,
have enabled researchers to passively monitor user behavior in real-time and at a …

The spontaneous recognition of emotional states and personality traits of individuals has
been puzzling researchers for years whereas pertinent studies demonstrating the progress …

Abstract The Experience Sampling Method (ESM) introduces in-situ sampling of human
behaviour, and provides researchers and behavioural therapists with ecologically valid and …

Smoking lapses early on during a quit attempt are highly predictive of failing to quit. A large
proportion of these lapses are driven by cravings brought about by situational and …

Suboptimal health related behaviors and habits; and resulting chronic diseases are
responsible for majority of deaths globally. Studies show that providing personalized support …

Background Internet-delivered psychological treatments (IDPTs) are built on evidence-
based psychological treatment models, such as cognitive behavioral therapy, and are …