Covariance matrices provide compact, informative feature descriptors for use in several
computer vision applications, such as people-appearance tracking, diffusion-tensor imaging …

Monitoring Frameworks (CMPMF) is an emerging study in the biomedical informatics
domain. However, literature on this topic is fragmented: first, there are no categories in the …

Many pervasive applications, such as activity recognition or remote wellness monitoring,
utilize a personal mobile device (aka smart phone) to perform continuous processing of data …

There is a growing interest in applications that utilize continuous sensing of individual
activity or context, via sensors embedded or associated with personal mobile devices (eg …

Recently, the notion of context aware computing has attracted attention in various domains,
and was mentioned as emerging direction in Gartner's 2009 hype cycle for enterprise …

The concept of context has recently emerged as one of the major abstractions in event
processing modeling with presence in event processing products. In this chapter we discuss …

Within the broad theme of wireless healthcare systems, this paper focuses on emergency
interventions. Specifically, we address one of the aspects of this problem, namely sensing …

Complex event processing (CEP) has been an area of intensive research in recent years.
Similarly, mobile devices such as smartphones, tablets and laptops are widespread …

The processing of queries expressed as trees of boolean operators applied to predicates on
sensor data streams has several applications in mobile computing. Sensor data must be …

In this article, we study activity recognition in the context of sensor-rich environments. We
address, in particular, the problem of inductive biases and their impact on the data collection …