A typical office worker nowadays spends the majority of his time sedentary in the course of his working life. In this paper, we address the problem of sedentariness in the context of office work through smooth integration of light physical activity into the daily work routine. Equipping a flexible office chair with motion sensing functionality, the chair becomes a ubiquitous input device that provides an office worker with the possibility to use the movements of his body for tilting, rotating, or bouncing to control his workplace computer. Based on this idea, we apply an existing gesture taxonomy to body movements on an active office chair, and explore different application scenarios for ubiquitous gestural chair interaction.

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Multipath routing allows for a reliable communication in ad-hoc networks, e.g., to transport Voice over IP (VoIP) calls in disaster scenarios. Due to the usage of different paths in conjunction with Forward Error Correction (FEC), failures can be tolerated without interrupting real-time transmissions. However, current multipath algorithms either depend on global topology information, perform an excessive message flooding, or require information of physical node positions. The situation becomes even worse if efficient broadcasts are impossible, e.g., due to some point-to-point links or if authentication is required and asymmetric signatures cannot be considered. Thus, this article introduces Scalable Multipath Exploration for Ad-Hoc Networks (SMEAN) as a method to discover, estimate, and select ad-hoc multipaths. SMEAN uses an overlay structure that is embedded into the transport network to discover overlay paths that utilize highly disjoint underlay paths. The low overhead allows for a reactive usage, e.g., when a VoIP is established. A simulative evaluation shows that SMEAN is able to set up suited multipath topologies with only a fraction of the messages needed by common ad-hoc routing algorithms. 2013 Conference on Networked Systems 978-0-7695-4950-7/12 $26.00