A Lifelog Management Model Based on Events

Since 2011, we have initiated the LiuLifelog project, which has collected 30,000 lifelogging data entries from 22 volunteers. However, as time progresses, the quantity of users’ lifelogging data increases, making the management of these data increasingly complex for the users. To address this, this paper proposes a LE-PDA model, which segments lifelogging data into distinct events, while assigning labels to each event, facilitating user data management. In this experiment, the data from two users were divided into 5,215 and 1,086 labeled events, respectively, after applying the LE-PDA model, achieving an accuracy rate of 68%. The experiment validates the efficacy of the LE-PDA model on the Liulifelog dataset, demonstrating its ability to assist users in organising and managing lifelogging data more efficiently.