Abstract. We present ArcheryVis, a tool for analyzing and visualizing archery performance data collected from two elementary school trainees over a year. The goals are to digitally archive their training target papers, automatically detect and calibrate shots, and analyze their performance via a visual interface. We achieve automatic shot detection using a deep neural ntwork, compute scores and relevant statistical measures, and design coordinated multiple views for interactive user exploration. Ex perimental results demonstrate the effectiveness of ArcheryVis.
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