Abstract
Wearable computing places tighter constraints on architecture design than traditional mobile computing. The architecture is described in terms of; miniaturization, power-awareness, global low-power design and flexibility or suitability for an application. In this article we present a new methodology based on four metrics that represent different properties. Flexibility, Electronic Packaging, Relative Recognition Performance and Energy Consumption metrics are proposed and evaluated on practical design examples to study different trade-offs. The proof of concept case study is analyzed by studying (a) walking behavior with acceleration sensors (b) office-worker activities with a combination of acceleration and light sensors and (c) a computational task. The results show that the proposed metrics and methodology assists in selecting an optimal architecture for a given application in the domain of wearable computing.
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