Human activity recognition has attracted enormous research interest thanks to its
fundamental importance in several domains spanning from health-care to security, safety …

We introduce mobile agents for mobile crowdsensing. Crowdsensing campaigns are
designed through different roles that are implemented as mobile agents. The role-based …

Software agents have been exploited to handle the inherent dynamicity in the Internet of
Things (IoT) systems, as agents are capable of autonomous, reactive and proactive …

Human group activity represents a potentially valuable contextually relevant source of
information, which can be analyzed to support diverse human-centric applications. In recent …

Human Activity Recognition (HAR) help to sense the environment of a human being with an
objective to serve a diverse range of human-centric applications in health care, smart-homes …

This thesis presents the study of a set of features that are derived from multi-modal sensor
data and Wi-Fi signal strength data applied to indoors pedestrian flock detection. Pedestrian …