This thesis presents the development of a web interface for processing and visualizing data obtained from motion capture sensors. The existing backend system
enables the storage of measurements in a Neo4j graph database, while the task
was to design a user-friendly interface that provides easy access to these data and
supports basic processing operations.
The developed interface allows loading and inspection of raw signals, their
conversion to the International System of Units, preprocessing with simple and
advanced filters (single-pole low-pass filter, finite impulse response filter, and
infinite impulse response filter), numerical transformations (integration, differentiation), and calculation of basic statistical features. The results are displayed to
the user as interactive plots, which enable faster understanding of the signals and
support further analysis.
In this way, the interface bridges the gap between the existing data acquisition
and storage system and the users who wish to view and process the data. The
solution can be further extended with frequency-domain analyses, comparison
between different users, and more advanced visualization methods.
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