Structuring and presenting lifelogs based on location data
2012 (English)Report (Other academic)
Lifelogging techniques help individuals to log their life and retrieve important events, memories and experiences. Structuring lifelogs is a major challenge in lifelogging systems since the system should present the logs in a concise and meaningful way to the user. In this article the authors present a novel approach for structuring lifelogs as places and activities based on location data. The structured lifelogs are achieved using a combination of density-based clustering algorithms and convex hull construction to identify the places of interest. The periods of time where the user lingers at the same place are then identified as possible activities. In addition to structuring lifelogs the authors present an application in which images are associated to the structuring results and presented to the user for reviewing. The proposed approach allows automatic inference of information about significant places and activities, which generates structured image-annotated logs of everyday life.
Place, publisher, year, edition, pages
2012. , 19 p.
activity recognition, activity inference, lifelogging, clustering algorithms, SenseCam, GPS, Information technology - Computer science
Informationsteknik - Datorvetenskap
Research subject Mobile and Pervasive Computing; Health Science; Dependable Communication and Computation Systems
IdentifiersURN: urn:nbn:se:ltu:diva-22631Local ID: 394deb46-c865-4a03-9457-90beee116fa2OAI: oai:DiVA.org:ltu-22631DiVA: diva2:995680
Godkänd; 2012; 20121030 (andboy)2016-09-292016-09-29Bibliographically approved