Buildings are responsible for a large portion of global energy consumption. Therefore, a
detailed investigation towards a more effective energy performance of buildings is needed …

The use of machine learning (ML) in smart building applications is reviewed in this article.
We split existing solutions into two main classes: occupant-centric versus energy/devices …

A cyber-physical system (CPS) is an integration of computation with physical processes
whose behavior is defined by both computational and physical parts of the system. In this …

Real-world deployments of accelerometer-based human activity recognition systems need
to be carefully configured regarding the sampling rate used for measuring acceleration …

Stress, anxiety and depression in the workplace are detrimental to human health and
productivity with significant financial implications. Recent research in this area has focused …

Passive infrared sensors have widespread use in many applications, including motion
detectors for alarms, lighting systems and hand dryers. Combinations of multiple PIR …

A primary strategy for the energy-efficient operation of commercial office buildings is to
deliver building services, including lighting, heating, ventilating, and air conditioning …

A review of the literature pertaining to building occupancy detection, counting, and tracking–
three areas under the umbrella of building occupancy estimation–is presented with a focus …

Electric energy consumption forecasting is an interesting, challenging, and important issue
in energy management and equipment efficiency improvement. Existing approaches are …

Increasingly, buildings are being fitted with sensors for the needs of different sectors, such
as education, industry and business. Using Internet of Things devices combined with …