Challenges and trends in ambient intelligence

Abstract

[Excerpt] Recent technological advances have enabled us to obtain detailed information about the environment (e.g. the Internet of Things), promoting interest in Ambient Intelligence (AmI). AmI studies the context of the user and uses this information to find highly intelligent solutions in the most varied application areas (Angelo Costa, et al. (2017)). Current research trends in AmI focus on fundamental aspects, such as data capture and fusion, as well as the processing and analysis of large amounts of information by means of AI-based methodologies for improved performance (Davide Carneiro et al. (2016)). In the area of information capture, current research focuses on the hardware (the development of smaller, cheaper or more efficient sensors) and the software (pre-processing of the information in the device, communication protocols, etc.) for improved information transmission. Information fusion is associated with both information acquisition and processing, and is required in contexts with multiple sensors, data sources or processes. [...]