The rapid accumulation of indoor positioning data is increasingly booming the interest in indoor mobility analyses. As a fundamental analysis, it is highly relevant to translate raw indoor positioning data into mobility semantics that describe what, where and when in a more concise and semantics-oriented way.

However, such a translation is challenging in several aspects:

To address these challenges, we design a system TRIPS that Translates Raw Indoor Positioning data into mobility Semantics. The system streamlines the entire translation process by three functional components.

Data analysts can interact with TRIPS to obtain the desired mobility semantics in a visual and convenient way. System Architecture

System Architecture

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