利用实验室和现场数据总结第二次护士护理活动识别挑战

S. S. Alia, P. Lago, Kohei Adachi, Tahera Hossain, H. Goto, Tsuyoshi Okita, Sozo Inoue
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引用次数: 17

摘要

使用实验室和现场数据的第二次护士护理活动识别挑战是作为HASCA研讨会的一部分组织的,是护士护理活动识别挑战的延续[7]。我们给出了数据集的描述,并总结了本次挑战赛中团队使用的方法。在这个挑战中,从实验室和现实环境中收集的数据被提供给挑战参与者,旨在弥合实验室和实际领域之间的差距,以减少护士的工作量。这项挑战于2020年5月1日开始,一直持续到2020年7月9日。准确性被用作评估提交的性能指标。获胜团队使用k-NN分类器,达到了约22.35%的准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Summary of the 2nd nurse care activity recognition challenge using lab and field data
2nd Nurse Care Activity Recognition Challenge using Lab and Field Data is organized as a part of HASCA workshop and is continuation of Nurse Care Activity Recognition Challenge [7]. We give the description of the dataset and summarize the approaches used by the teams in this Challenge. In this challenge, data collected in both lab and real-world setting is provided to the challenge participants with an aim to bridge the gap between lab and practical field to reduce the workload of the nurses. The challenge was started on May 1, 2020 and continued until July 9, 2020. Accuracy is used as performance metric to evaluate the submissions. The winning team used k-NN classifier and achieved about 22.35% accuracy.
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