Year: 2002
Type: conference-paper
Abstract: 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.
Institution: Lancaster University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2167233041