Abstract
Designing and installing long-term monitoring equipment in the users’ home sphere often presents challenges in terms of reliability, privacy, and deployment. Taking the logging of sleeping postures as an example, this study examines data from two very different modalities, high-fidelity video footage and logged wrist acceleration, that were chosen for their ease of setting up and deployability for a sustained period. An analysis shows the deployment challenges of both, as well as what can be achieved in terms of detection accuracy and privacy. Finally, we evaluate the benefits that a combination of both modalities would bring.
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Becker, H., Borazio, M., Van Laerhoven, K. (2010). How to Log Sleeping Trends? A Case Study on the Long-Term Capturing of User Data. In: Lukowicz, P., Kunze, K., Kortuem, G. (eds) Smart Sensing and Context. EuroSSC 2010. Lecture Notes in Computer Science, vol 6446. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16982-3_2
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DOI: https://doi.org/10.1007/978-3-642-16982-3_2
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