Context capturing in smart space applications

Andrey Vasilev, Ilya Paramonov, Sergey Balandin, Ekaterina Dashkova, Yevgeni Koucheryavy


his paper describes a study of the role and methods for context capturing in smart spaces. The collected context information is captured for further use by pro-active services provided in user-centric service spaces. Another aspect addressed by the paper is representation of the collected context data in human-readable format. For that purpose we use collaborative mind map editor HiveMind. The developed solution for context management is illustrated by the case study. We apply the proposed method for capturing context information to the smart space application Smart Conference System and use HiveMind as user-friendly context monitoring tool.


Context management; HiveMind; Mind Map; Smart Spaces; Smart-M3; Smart Conference

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