Preface to JAISE 14(1)

The paper entitled “ Ultra-wideband data as input of a combined EfficientNet and LSTM architecture for human activity recognition ” by Alexandre Beaulieu et al. addresses the important confluence of activity recognition for ambient assisted living. The technical core contribution of this article includes a system based on a deep learning model combining LSTM and a tuned version of the EfficientNet model using transfer learning, data fusion, minimalist pre-processing as well as training for both activity and movement recognition using data from three ultra-wideband (UWB) radars. The system was validated on a real smart environment and showed improvements to previous similar approaches. The paper entitled “ Fuzzy multi-agent assistance system for elderly care based on user engagement ” by Al-fonso Rojas-Domínguez et al. also considers an ambient assisted living system however more focused on software and algorithmic approach and based on a multi-agent system. The focus of the system is in providing core compo-nents of the multi-agent system strong interaction and engagement capabilities with the main intended beneficiaries of the ambient assisted living system. The system is demonstrated with scenarios focused on providing security, comfort and health-related services. User engagement levels are estimated through a fuzzy inference system. The system was tested using two different datasets of real interactions between users and devices in their home environments which demonstrates how the system improves performance and alignment of the system behaviour with user satisfaction. The paper entitled “ Refillable PUF authentication