Abstract
Quality of Context (QoC) in context-aware computing improves reasoning and decision making. Activity recognition in wearable computing enables context-aware assistance. Wearable systems must include QoC to participate in context processing frameworks common in large ambient intelligence environments. However, QoC is not specifically defined in that domain. QoC models allowing activity recognition system reconfiguration to achieve a desired context quality are also missing. Here we identify the recognized dimensions of QoC and the performance metrics in activity recognition systems. We discuss how the latter maps on the former and provide provide guidelines to include QoC in activity recognition systems. On the basis of gesture recognition in a car manufacturing case study, we illustrate the signification of QoC and we present modeling abstractions to reconfigure an activity recognition system to achieve a desired QoC.
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Villalonga, C., Roggen, D., Lombriser, C., Zappi, P., Tröster, G. (2009). Bringing Quality of Context into Wearable Human Activity Recognition Systems. In: Rothermel, K., Fritsch, D., Blochinger, W., Dürr, F. (eds) Quality of Context. QuaCon 2009. Lecture Notes in Computer Science, vol 5786. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04559-2_15
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DOI: https://doi.org/10.1007/978-3-642-04559-2_15
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