There has been an upsurge recently in investigating machine learning techniques for activity
recognition (AR) problems as they have been very effective in extracting and learning …

From the past few decades, Human activity recognition (HAR) is one of the vital research
areas in computer vision in which much research is ongoing. The researcher's focus is …

Activity recognition in smart environments is an evolving research problem due to the
advancement and proliferation of sensing, monitoring and actuation technologies to make it …

The integration of Micro Electronic Mechanical Systems (MEMS) sensor technology in
smartphones has greatly improved the capability for Human Activity Recognition (HAR). By …

This paper addresses the growing demand for healthcare systems, particularly among the
elderly population. The need for these systems arises from the desire to enable patients and …

People counting has many applications in smart buildings. For example, adjusting HVAC
systems based on the number of occupants in each room can save a significant amount of …

Large-scale sensing and actuation infrastructures have allowed buildings to achieve
significant energy savings; at the same time, these technologies introduce significant privacy …

With advancement in sensors and Internet of Things, gathering spatiotemporal information
from one's surroundings has become easier, to an extent that we can start to use sensor …

Human occupancy information is crucial for any modern Building Management System
(BMS). Implementing pervasive sensing and leveraging Carbon Dioxide data from BMS …

The correlations between smartphone sensors, algorithms, and relevant techniques are
major components facilitating indoor localization and tracking in the absence of …