A review on applications of activity re...

Activity recognition systems are a large field of research and development, currently with a focus on advanced machinelearning algorithms, innovations in the field of hardware architecture, and on decreasing the costs of monitoring whileincreasing safety. This article concentrates on the applications of activity recognition systems and surveys their state ofthe art. We categorize such applications into active and assisted living systems for smart homes, healthcare monitoringapplications, monitoring and surveillance systems for indoor and outdoor activities, and tele-immersion applications.Within these categories, the applications are classified according to the methodology used for recognizing human behavior,namely, based on visual, non-visual, and multimodal sensor technology. We provide an overview of these applicationsand discuss the advantages and limitations of each approach. Additionally, we illustrate public data sets that aredesigned for the evaluation of such recognition systems. The article concludes with a comparison of the existing methodologieswhich, when applied to real-world scenarios, allow to formulate research questions for future approaches.