WearNET: A distributed multi-sensor system for context aware wearables. This paper describes a distributed, multi-sensor system architecture designed to provide a wearable computer with a wide range of complex context information. Starting from an analysis of useful high level context information we present a top down design that focuses on the peculiarities of wearable applications. Thus, our design devotes particular attention to sensor placement, system partitioning as well as resource requirements given by the power consumption, computational intensity and communication overhead. We describe an implementation of our architecture and initial experimental results obtained with the system.

References in zbMATH (referenced in 2 articles , 1 standard article )

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  1. Kong, Quan; Maekawa, Takuya: Reusing training data with generative/discriminative hybrid model for practical acceleration-based activity recognition (2014) ioport
  2. Lukowicz, P.; Junker, H.; Stäger, M.; von Büren, T.; Tröster, G.: WearNET: A distributed multi-sensor system for context aware wearables (2002)