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This repository was written to help analyze the Virginia Tech Natural Motion Dataset. The dataset contains 40 hours of unscripted human motion collected in the open world using XSens MVN Link. The dataset, metadata and more information is available through the Virginia Tech University Libraries: https://data.lib.vt.edu/articles/dataset/Virginia_…
PyJama is a friendly python library for analyzing human kinematics data. Aimed at analyzing data from IMU's, MIMU's, data from optical devices and in the future tracking data from deeplearning models.