Abstract
In many countries, people are obliged to remain in their jobs for a long time. This results in an increased number of elderly people with certain disabilities in working life. Therefore, a support with technical assistance systems can avoid further health risks and help employees in their everyday life. An important step for offering a suitable assistance is the automatic recognition of working situations. In this paper we explore the unobtrusive data acquisition and classification of working situations above a tabletop surface. Therefore, a grid of capacitive sensors is deployed directly underneath the tabletop.
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Grosse-Puppendahl, T., Benchea, S., Kamieth, F., Braun, A., Schuster, C. (2013). Unobtrusive Recognition of Working Situations. In: Streitz, N., Stephanidis, C. (eds) Distributed, Ambient, and Pervasive Interactions. DAPI 2013. Lecture Notes in Computer Science, vol 8028. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39351-8_13
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DOI: https://doi.org/10.1007/978-3-642-39351-8_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39350-1
Online ISBN: 978-3-642-39351-8
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