Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …

Human activity detection within smart homes is one of the basis of unobtrusive wellness
monitoring of a rapidly aging population in developed countries. Most works in this area use …

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application
to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT …

Smart home environments have a significant potential to provide for long-term monitoring of
users with special needs in order to promote the possibility to age at home. Such …

Currently, many mobile devices provide various interaction styles and modes which create
complexity in the usage of interfaces. The context offers the information base for the …

Healthcare industry is gaining a lot of attention due to its technological advancement and the
miniaturization in the form of wearable sensors. IoT-driven healthcare industry has mainly …

The Adaptive User Interface (AUI) adapts to the changes in the context of use and provides
improved interaction abilities for different users. The adaptivity in the user interfaces requires …

IoT-based systems for early epidemic detection have not been investigated yet in the
research. The state-of-the art in sensor technology and activity recognition makes it possible …

Activity Recognition (AR) is key in context-aware assistive living systems. One challenge in
AR is the segmentation of observed sensor events when interleaved or concurrent activities …

With the modernization of industry and introduction of IoT, maintenance practices have been
moving from reactive to proactive and predictive approaches. The identification of faults …