JOURNAL ARTICLE

CAPIM: A context-aware platform using integrated mobile services

Abstract

As smartphones integrate more sensors and provide larger computing capacities, they enable a shift towards massive quantities of real-time information becoming access push rather than demand pull on a global case. We present a platform for supporting generic context-aware mobile applications. It is composed of a monitoring layer, capable of collecting and aggregating data from various sensors related to the mobile phone, a rule execution engine capable of supporting context-aware workflows, and an application layer capable of supporting the interface between mobile applications and the human operator. We present the architectural decisions of our solutions, together with implementations details and experimental evaluation results. Our solution is fully functional and can be used in a variety of context-aware situations.

Keywords:
Computer science Workflow Context (archaeology) Variety (cybernetics) Implementation Mobile phone Layer (electronics) Mobile computing Context awareness Distributed computing Phone Human–computer interaction Embedded system Computer network Database Software engineering Operating system Artificial intelligence

Metrics

10
Cited By
1.28
FWCI (Field Weighted Citation Impact)
7
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Bluetooth and Wireless Communication Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications
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