@article{oai:nagasaki-u.repo.nii.ac.jp:00027590,
 author = {木村, 眞実 and 宮地, 英生},
 issue = {1-2},
 journal = {経営と経済, Journal of Business and Economics},
 month = {Sep},
 note = {This paper examines a method of aggregating work time. We developed　a work extraction program based on “OpenPose,” a machine learning (human) posture estimation program. Then, the waveforms showing the features of the tasks were imported into the software for coding the video. As a result, although the accuracy varied depending on the task, the waveforms indicating the feature values of the task could be imported into ELAN, enabling the accurate tabulation of the work time in a short time., 経営と経済, 102(1-2), pp.35-48; 2022},
 pages = {35--48},
 title = {生産工程のボトルネック把握に向けた 作業時間集計の実用化研究},
 volume = {102},
 year = {2022}
}