Abstract
In this paper we present a feasibility study regarding the recognition of high level daily living and care activities. We examine a hybrid discriminative and model based generative approach based on RFID and inertial sensor data. We show that the presented sensor configuration is able to deliver sensor readings and object sightings at a sufficient rate without forcing user compliance. We further evaluated the advantage of a model based approach over a static classifier, compared the individual contribution of each sensor type and could reach accuracy rates of 97% and 85%.
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Hein, A., Kirste, T. (2009). A Hybrid Approach for Recognizing ADLs and Care Activities Using Inertial Sensors and RFID. In: Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Intelligent and Ubiquitous Interaction Environments. UAHCI 2009. Lecture Notes in Computer Science, vol 5615. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02710-9_21
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DOI: https://doi.org/10.1007/978-3-642-02710-9_21
Publisher Name: Springer, Berlin, Heidelberg
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