Hand Washing Video Dataset Annotated According to the World Health Organization's Handwashing Guidelines - METC Subset
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<strong>Overview:</strong> This is a lab-based dataset with videos recording volunteers (medical students) washing their hands as part of a hand-washing monitoring and feedback experiment. The dataset is collected in the Medical Education Technology Center (METC) of Riga Stradins University, Riga, Latvia. In total, 72 participants took part in the experiments, each washing their hands three times, in a randomized order, going through three different hand-washing feedback approaches (user interfaces of a mobile app). The data was annotated in real time by a human operator, in order to give the experiment participants real-time feedback on their performance. There are 212 hand washing episodes in total, each of which is annotated by a single person. The annotations classify the washing movements according to the World Health Organization's (WHO) guidelines by marking each frame in each video with a certain movement code. This dataset is part on three dataset series all following the same format: https://zenodo.org/record/4537209 - data collected in Pauls Stradins Clinical University Hospital https://zenodo.org/record/5808764 - data collected in Jurmala Hospital https://zenodo.org/record/5808789 - data collected in the Medical Education Technology Center (METC) of Riga Stradins University <strong>Note #1:</strong> we recommend that when using this dataset for machine learning, allowances are made for the reaction speed of the human operator labeling the data. For example, the annotations can be expected to be incorrect a short while after the person in the video switches their washing movements. <strong>Application: </strong>The intention of this dataset is to serve as a basis for training machine learning classifiers for automated hand washing movement recognition and quality control. <strong>Statistics:</strong> Frame rate: ~16 FPS (slightly variable, as the video are reconstructed from a sequence of jpg images taken with max framerate supported by the capturing devices). Resolution: 640x480 Number of videos: 212 Number of annotation files: 212 Movement codes (in JSON files): 1: Hand washing movement — Palm to palm 2: Hand washing movement — Palm over dorsum, fingers interlaced 3: Hand washing movement — Palm to palm, fingers interlaced 4: Hand washing movement — Backs of fingers to opposing palm, fingers interlocked 5: Hand washing movement — Rotational rubbing of the thumb 6: Hand washing movement — Fingertips to palm 0: Other hand washing movement <strong>Note #2: </strong>The original dataset of JPG images is available upon request. There are 13 annotation classes in the original dataset: for each of the six washing movements defined by the WHO, "correct" and "incorrect" execution is market with two different labels. In this published dataset, all incorrect executions are marked with code 0, as "other" washing movement. <strong>Acknowledgments: </strong>The dataset collection was funded by the Latvian Council of Science project: "Automated hand washing quality control and quality evaluation system with real-time feedback", No: lzp - Nr. 2020/2-0309. <strong>References: </strong>For more detailed information, see this article, describing a similar dataset collected in a different project: M. Lulla, A. Rutkovskis, A. Slavinska, A. Vilde, A. Gromova, M. Ivanovs, A. Skadins, R. Kadikis, A. Elsts. <em>Hand-Washing Video Dataset Annotated According to the World Health Organization’s Hand-Washing Guidelines</em>. Data. 2021; 6(4):38. https://doi.org/10.3390/data6040038 <strong>Contact information: </strong>atis.elsts@edi.lv
**数据集概览:** 本数据集为实验室采集数据集,录制了志愿者(医学生)洗手的过程,用于洗手监控与反馈实验。数据集采集于拉脱维亚里加的里加斯特拉京斯大学医学教育技术中心(Medical Education Technology Center, METC)。本次实验共有72名参与者,每名参与者按照随机顺序完成三次洗手流程,分别体验三种不同的洗手反馈方案(即某手机应用的用户界面)。数据由人工操作员实时标注,以便为实验参与者提供其洗手表现的实时反馈。本数据集共包含212段洗手片段,每段均由单人完成标注。标注人员依据世界卫生组织(World Health Organization, WHO)的洗手指南,为每段视频的每一帧赋予特定动作编码,以此对洗手动作进行分类。本数据集属于同格式的三大数据集系列之一,相关链接如下: https://zenodo.org/record/4537209 - 采自保罗·斯特拉京斯临床大学医院的数据集 https://zenodo.org/record/5808764 - 采于尤尔马拉医院的数据集 https://zenodo.org/record/5808789 - 采自里加斯特拉京斯大学医学教育技术中心(Medical Education Technology Center, METC)的数据集 **注意事项1:** 建议在将本数据集用于机器学习任务时,需考虑人工标注员的反应延迟。例如,当视频中的受试者切换洗手动作后的短时间内,标注结果可能存在偏差。 **应用场景:** 本数据集旨在为训练用于自动洗手动作识别与质量管控的机器学习分类器提供基础数据支撑。 **数据集统计信息:** 帧率:约16 FPS(帧率略有波动,因视频由采集设备以最大支持帧率拍摄的JPG图像序列重构而成)。分辨率:640×480。视频总数:212段。标注文件总数:212个。JSON文件中的动作编码规则: 1:洗手动作——掌心对掌心揉搓 2:洗手动作——掌心覆盖手背,手指交叉 3:洗手动作——掌心对掌心,手指交叉揉搓 4:洗手动作——指背贴合对侧掌心,手指互锁 5:洗手动作——拇指旋转揉搓 6:洗手动作——指尖摩擦掌心 0:其他洗手动作 **注意事项2:** JPG格式的原始图像数据集可按需获取。原始数据集共包含13个标注类别:针对WHO定义的6种洗手动作,分别用两种不同标签标记动作的"正确"与"错误"执行情况。而在本公开数据集中,所有错误执行的动作均被标记为编码0,即"其他洗手动作"。 **致谢:** 本数据集的采集工作由拉脱维亚科学委员会项目“带实时反馈的自动化洗手质量管控与质量评估系统”(项目编号:lzp - Nr. 2020/2-0309)资助。 **参考文献:** 如需获取更多详细信息,请参阅以下描述了另一项目中采集的同类数据集的论文:M. Lulla、A. Rutkovskis、A. Slavinska、A. Vilde、A. Gromova、M. Ivanovs、A. Skadins、R. Kadikis、A. Elsts. 《依据世界卫生组织洗手指南标注的洗手视频数据集》. 数据 (Data). 2021; 6(4):38. https://doi.org/10.3390/data6040038 **联系方式:** atis.elsts@edi.lv



