Skip to Main Content
Although various systems use multiple accelerometers to recognize minute motions and states in the research area of context-awareness, a conventional architecture can be optimized from the viewpoint of its energy consumption and accuracy. In this paper, we propose a context-aware system that reduces the energy consumption by controlling the sampling frequency of wearable sensors. Even if the sampling frequency changes, no extra configuration is required because the missing data for the controlled sensors are complemented by our proposed algorithm. The evaluation results confirmed a power-reduction of 34.28% with keeping the accuracy. The energy consumption can be reduced without a large loss in accuracy using our system.