XAmI Applications to Smart Homes

A smart home is an environment where users spend most of their time. However, unlike location-aware systems or telemedicine or telecare systems, smart homes can be controlled by the user, even from the outside. Therefore, assisting users in operating smart home appliances has become a key task. To accomplish this task, various sensors and actuators are installed in smart home appliances to detect user conditions and needs, accompanied by many artificial intelligence (AI) applications. This chapter first summarizes the applications of AI technologies in smart homes. Explainable ambient intelligence (XAmI) techniques can then be applied to extract useful behavioral patterns of users from these AI applications, thereby making such AI applications more autonomous and intelligent. Common XAmI techniques for this purpose include fuzzy inference rules, decision rules (or trees), random forests, and locally interpretable model-agnostic explanations (LIME).