Artifacts Guide: Evaluation of Video-Assisted Annotation of Human IMU Data.

This artifact guide outlines the supplementary material for our paper Evaluation of Video-Assisted Annotation of Human IMU Data Across Expertise, Datasets, and Tools. The supplementary material comprises Python code that replicates our findings, along with instructions for downloading and deploying this code, and a list of hardware requirements for successful execution. Additionally, we present detailed results of our study including per-participant NASA-TLX questionnaire results and per-participant evaluation metrics. Lastly, we provide in this guide all necessary material and offer supplementary insights into the annotation tools employed in our study so that the study could be replicated by other researchers with additional participants. The code, data and supplementary information can be publicly downloaded from the following repository: https://github.com/mariusbock/video_assisted_annotation