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

This paper deals with the design and implementation of a highly miniaturized, multi-sensor
context recognition system. It represents an optimal trade-off between power consumption …

As the availability and use of wearables increases, they are becoming a promising platform
for context sensing and context analysis. Smartwatches are a particularly interesting platform …

The ever increasing technological advances in embedded systems engineering, together
with the proliferation of small-size sensor designs and deployment, have enabled smart …

This paper presents an empirical design methodology to optimize a context recognition
system with respect to a trade-off between power consumption and recognition performance …

Recent developments in smartphones have increased the processing capabilities and
equipped these devices with a number of built-in multimodal sensors, including …

The ability to automatically recognize a person's behavioral context can contribute to health
monitoring, aging care, and many other domains. Validating context recognition in the wild is …

In this paper, we evaluate how the performance of a wearable context recognition system is
affected by the sampling frequency and the resolution of the sensor signals used for the …

Context recognition is an indispensable functionality of context-aware applications that
deals with automatic determination and inference of contextual information from a set of …

Wearables like smartwatches or wrist bands equipped with pervasive sensors enable us to
monitor our physiological signals. In this study, we address the question whether they can …