Context Inference for Mobile Applications in the UPCASE Project

Autor:	João M. P. Cardoso, Diogo R. Ferreira, Luís Tarrataca, André C. Santos, Paulo Chainho, Pedro C. Diniz
Rok vydání:	2009
Předmět:	Database Computer science Mobile computing Wearable computer Inference Context (language use) computer.software_genre law.invention Bluetooth Proof of concept Human–computer interaction law Systems architecture Mobile device computer
Zdroj:	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783642018015 MOBILWARE
DOI:	10.1007/978-3-642-01802-2_26
Popis:	The growing processing capabilities of mobile devices coupled with portable and wearable sensors have enabled the development of context-aware services tailored to the user environment and its daily activities. The problem of determining the user context at each particular point in time is one of the main challenges in this area. In this paper, we describe the approach pursued in the UPCASE project, which makes use of sensors available in the mobile device as well as sensors externally connected via Bluetooth. We describe the system architecture from raw data acquisition to feature extraction and context inference. As a proof of concept, the inference of contexts is based on a decision tree to learn and identify contexts automatically and dynamically at runtime. Preliminary results suggest that this is a promising approach for context inference in several application scenarios.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e289af98fc046bfe0022aeb591dabc49 https://doi.org/10.1007/978-3-642-01802-2_26 Zobrazit plný text záznamu