Abstract
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 paper the authors present an 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 system is evaluated through a user study consisting of 12 users, who used the system for 1 day and then answered a survey. The proposed approach in this paper allows automatic inference of information about significant places and activities, which generates structured image-annotated logs of everyday life.
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Acknowledgment
The authors would like to thank the Dem@care project (www.demcare.eu) for funding part of this work. The Dem@care project has received funding from the European Community’s Seventh Framework Programme (FP7/2007–2013) under grant agreement 288199.
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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Kikhia, B., Boytsov, A., Hallberg, J., ul Hussain Sani, Z., Jonsson, H., Synnes, K. (2014). Structuring and Presenting Lifelogs Based on Location Data. In: Cipresso, P., Matic, A., Lopez, G. (eds) Pervasive Computing Paradigms for Mental Health. MindCare 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-319-11564-1_14
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DOI: https://doi.org/10.1007/978-3-319-11564-1_14
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