Automated data alignment during sports events
Abstract
We develop an algorithm to automate data alignment by precisely identifying stops in data collected from NEEDED 2018. Our approach make suggestions for a corrected timestamp and create a reports which are used for final verification purposes. These reports also facilitate manual corrections where applicable. We develop an algorithm to automate data alignment by precisely identifying stops in data collected from NEEDED 2018. Our approach make suggestions for a corrected timestamp and create a reports which are used for final verification purposes. These reports also facilitate manual corrections where applicable.