This paper presents a data-driven literature review of human-building interaction (HBI),
which refers to the interaction between occupants and buildings. Through natural language …

Abstract Vision-based (camera-based) systems, which can effectively sense occupant
information, have garnered attention as a core technology in the Fourth Industrial …

Reinforcement learning (RL) was first demonstrated to be a feasible approach to controlling
heating, ventilation, and air conditioning (HVAC) systems more than a decade ago …

The emergence of radio frequency (RF) dependent device-free indoor occupancy detection
has seen slow acceptance due to its high fragility. Experimentation shows that an RF …

Abstract Human-Building Interaction (HBI) is a convergent field that represents the growing
complexities of the dynamic interplay between human experience and intelligence within …

Energy-efficient buildings have gained increasing interest in the last decades as they
provide optimal energy management. With the emergence of smart homes, many smart tools …

The capillary spread of personal devices equipped with wireless communication capabilities
has enabled a series of high level services which build on capturing and processing the …

As cameras and Wi-Fi access points are widely deployed in public places, new mobile
applications and services can be developed by connecting live video analytics to the mobile …

We propose Gnu-RL: a novel approach that enables real-world deployment of reinforcement
learning (RL) for building control and requires no prior information other than historical data …

Occupancy information in indoor spaces is playing an increasingly important role in the
development of smart applications. The need for this type of information covers a multitude …