Recently, inferring the state of people's mental health via passive mobile sensing has
attracted significant attention. Previous studies have used the self-assessed stress levels as …

A person's behavior significantly influences their health and well-being. It also contributes to
the social environment in which humans interact, with cascading impacts to the health and …

People's thoughts, feelings, and behaviors can vary a great deal over situations and time.
Such dynamic patterns are difficult to assess using traditional survey-and lab-based …

In this article, we introduce explainable methods to understand how Human Activity
Recognition (HAR) mobile systems perform based on the chosen validation strategies. Our …

The rich context provided by smartphones has enabled many new context-aware
applications. However, these applications still need to provide their own mechanisms to …

Highlights•Smartphone Sensing Methods (SSMs) permit continuous and real-time
behavioral observation in the context of people's daily lives.•SSMs provide objective …

This comprehensive review mainly analyzes and summarizes the recently published works
on IEEExplore in sensor-driven smart living contexts. We have gathered over 150 research …

As people grow older, they are often faced with some degree of decreasing cognitive
abilities or physical strength. Isolation from social life, poor quality of life, and increased risk …

Smart spaces equipped with sensors and combined with learning are becoming
increasingly popular for many ubiquitous computing applications. However, application …

Wearable sensors today can unobtrusively collect rich time-series of physiological states
and human movement patterns over a prolonged period. Gaining a better understanding of …