Summary of the 2nd nurse care activity recognition challenge using lab and field data
Summary of the 2nd nurse care activity recognition challenge using lab and field data
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使用实验室和现场数据进行的第二届护士护理活动识别挑战摘要
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Sozo Inoue
中科院分区：
文献类型：
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作者：
S. S. Alia;P. Lago;Kohei Adachi;Tahera Hossain;H. Goto;Tsuyoshi Okita;Sozo Inoue
使用实验室和现场数据的第二届护士护理活动识别挑战赛是HASCA研讨会的一部分，也是护士护理活动识别挑战赛的延续[7]。我们给出了数据集的描述，并总结了团队在本次挑战中使用的方法。在这项挑战中，在实验室和现实世界中收集的数据提供给挑战参与者，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。挑战赛于2020年5月1日开始，持续至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，准确率约为22.35%。
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.