Abstract
Lifelogging is the process of digital tracking of person's daily experiences for a variety of purposes. In recent years, lifelogging has become an increasingly popular area of research due to not only the growing demands from many applications, such as wellbeing, entertainment, healthcare systems, and intelligent environments, but also to the advances in device technologies that offer the promise to record and store large volumes of personal data using inexpensive tools. However, getting insights from egocentric experience using huge deluge of unlabeled and unstructured data continues to pose major challenges. A large number of research have been conducted in recent years to cover these challenges but there is still a lack of studies that provide a comprehensive survey of the available literature, while most of the existing lifelogging surveys generally focus on only one aspect. This review highlights the advances of state-of-the-art in lifelogging from different angles, including its research history, current applications, activity recognition techniques, moment retrieval, storytelling, privacy and security issues, as well as challenges and future research trends.