Smartphones are a promising platform for continuous monitoring of human behavior.
However, the ability to capture people's behavioral patterns in-the-wild is a challenge, as the …

Human activity recognition (HAR) essentially uses (past) sensor data or complex context
information for inferring the activities a user performs in his daily tasks. HAR has been …

Non-invasive, environmental monitoring is being successfully utilised to improve health care
outcomes for patients while allowing them to more safely and comfortably live in their homes …

Mobile cloud computing (MCC) and context-aware computing are research topics with
growing evidence. The former seeks to leverage cloud computing features to improve the …

Abstract Human Activity Recognition (HAR) has gained attention in many studies in the
ubiquitous computing area. Due to its high demand in recent years, various researchers use …

The usability of the mobile e-learning app depends generally on functions such as
efficiency, effectiveness, learning, cognition, memory, etc. There is no tool or theory for …

Elderly and disabled person activity recognition in smart home is actively topic for getting to
changes in physical and behavioral profiles of person health. Different activity recognition …

Recent years, with smartphones and other pervasive devices the paradigm of situation-
recognition extended to IoT devices in home. Since IoT devices produce data that can help …