This Special Issue explores the use of machine learning in pattern recognition to predict a user’s intentions based on data from wearable devices. The process involves human activity recognition, localization, and a time component, and has applications in areas such as ambient assisted living, smart homes, and virtual reality. Modern deep learning techniques are discussed for accurate human activity recognition and localization.
