The presented work introduces the evolution of the computer to an ubiquitous attendant of the human. The related incessantly opportunity to interact with the computer and the explicit character of current user interfaces leads to the distraction of the human from his actual tasks. Accordingly, the authors of this work suggest the design and the research of new and implicit interaction forms, which support the human while the processing of his tasks. In this work, a concept for the implicit human-computer interaction by the recognition of prejudicial postures will presented. The detection and feedback of prejudicial postures by mobile computers like smartphones shall warn the human of unhealthy postures in everyday life and on work and prevent him from sanitary after effects. © 2011 Springer-Verlag.
CITATION STYLE
Maier, E. (2011). Implicit human-computer interaction by posture recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6777 LNCS, pp. 143–150). https://doi.org/10.1007/978-3-642-21799-9_16
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