Context awareness in Systems with Limited Resources
Ozan Cakmakci, Joëlle Coutaz, Kristof Van Laerhoven, Hans W. Gellersen · Lancaster EPrints (Lancaster University) · 2002
Mobile embedded systems often have strong limitations regarding available resources.In this paper we propose a statistical approach which could scale down to microcontrollers with scarce resources, to model simple contexts based on raw sensor data.As a case study, two experiments are provided where statistical modeling techniques were applied to learn and recognize different contexts, based on accelerometer data.We furthermore point out applications that utilize contextual information for power savings in mobile embedded systems.