Dataset for the assessment of presence and performance in an augmented reality environment for motor imitation learning: a case-study on violinists.

<strong>Data description</strong> Repository structure The repository contains several zip files, which contain a set of individual data files. We describe the general content of every zip file and supplement this information with a table describing the individual data files in the zip file. An overview of the different zip-files is given in Table 1. Zip-files in repository description Labeled_MoCap_Data.zip Labeled motion capture data Joint_Angle_Data.zip Joint angles extracted from mocap data Analyzed_Data.zip Filtered and analyzed mocap data Audio_Data.zip Audio data participants Questionnaire_Data.zip Questionnaire data Scores.zip Scores played by participants Avatar_Data.zip All data collected for the avatars Table 1: overview of different zip-files in repository. Csv format with labeled MoCap Data, including data labels. Every column is a data stream from a marker. Every marker has 3 data streams, referring to the x, y, and z coordinates of the marker position. In addition, the violin (3-4 markers) and the violin bow (3 markers) are labelled as well. An overview of the different labels and their meaning is given in Table 2. One data file per participant (P001-P011), per trial (T1-T4), per condition (2D/3D) is presented. Additionally, the data type (MoCap), and the performed fragment (F1-F4) are given in the filename. An example of a file name is e.g., ‘P001_T1_2D_F1_MoCap.csv’ for a participant (see Table 2). File Name Labeled_MoCap_Data.zip Content Participant Trial Condition Piece Data Type P001_T1_2D_F2_MoCap.csv 1 1 2 2 Labeled MoCap Data P001_T2_2D_F2_MoCap.csv 1 2 2 2 P001_T3_2D_F2_MoCap.csv 1 3 2 2 P001_T4_2D_F2_MoCap.csv 1 4 2 2 P001_T1_3D_F1_MoCap.csv 1 1 3 1 P001_T2_3D_F1_MoCap.csv 1 2 3 1 P001_T3_3D_F1_MoCap.csv 1 3 3 1 P001_T4_3D_F1_MoCap.csv 1 4 3 1 P002_T1_2D_F1_MoCap.csv 2 1 2 1 P002_T2_2D_F1_MoCap.csv 2 2 2 1 P002_T3_2D_F1_MoCap.csv 2 3 2 1 P002_T4_2D_F1_MoCap.csv 2 4 2 1 P002_T1_3D_F2_MoCap.csv 2 1 3 2 P002_T2_3D_F2_MoCap.csv 2 2 3 2 P002_T3_3D_F2_MoCap.csv 2 3 3 2 P002_T4_3D_F2_MoCap.csv 2 4 3 2 P003_T1_2D_F3_MoCap.csv 3 1 2 3 P003_T2_2D_F3_MoCap.csv 3 2 2 3 P003_T3_2D_F3_MoCap.csv 3 3 2 3 P003_T4_2D_F3_MoCap.csv 3 4 2 3 P003_T1_3D_F4_MoCap.csv 3 1 3 4 P003_T2_3D_F4_MoCap.csv 3 2 3 4 P003_T3_3D_F4_MoCap.csv 3 3 3 4 P003_T4_3D_F4_MoCap.csv 3 4 3 4 P004_T1_2D_F1_MoCap.csv 4 1 2 1 P004_T2_2D_F1_MoCap.csv 4 2 2 1 P004_T3_2D_F1_MoCap.csv 4 3 2 1 P004_T4_2D_F1_MoCap.csv 4 4 2 1 P004_T1_3D_F2_MoCap.csv 4 1 3 2 P004_T2_3D_F2_MoCap.csv 4 2 3 2 P004_T3_3D_F2_MoCap.csv 4 3 3 2 P004_T4_3D_F2_MoCap.csv 4 4 3 2 P005_T1_2D_F3_MoCap.csv 5 1 2 3 P005_T2_2D_F3_MoCap.csv 5 2 2 3 P005_T3_2D_F3_MoCap.csv 5 3 2 3 P005_T4_2D_F3_MoCap.csv 5 4 2 3 P005_T1_3D_F4_MoCap.csv 5 1 3 4 P005_T2_3D_F4_MoCap.csv 5 2 3 4 P005_T3_3D_F4_MoCap.csv 5 3 3 4 P005_T4_3D_F4_MoCap.csv 5 4 3 4 P006_T1_2D_F1_MoCap.csv 6 1 2 1 P006_T2_2D_F1_MoCap.csv 6 2 2 1 P006_T3_2D_F1_MoCap.csv 6 3 2 1 P006_T4_2D_F1_MoCap.csv 6 4 2 1 P006_T1_3D_F2_MoCap.csv 6 1 3 2 P006_T2_3D_F2_MoCap.csv 6 2 3 2 P006_T3_3D_F2_MoCap.csv 6 3 3 2 P006_T4_3D_F2_MoCap.csv 6 4 3 2 P007_T1_2D_F4_MoCap.csv 7 1 2 4 P007_T2_2D_F4_MoCap.csv 7 2 2 4 P007_T3_2D_F4_MoCap.csv 7 3 2 4 P007_T4_2D_F4_MoCap.csv 7 4 2 4 P007_T1_3D_F3_MoCap.csv 7 1 3 3 P007_T2_3D_F3_MoCap.csv 7 2 3 3 P007_T3_3D_F3_MoCap.csv 7 3 3 3 P007_T4_3D_F3_MoCap.csv 7 4 3 3 P008_T1_2D_F4_MoCap.csv 8 1 2 4 P008_T2_2D_F4_MoCap.csv 8 2 2 4 P008_T3_2D_F4_MoCap.csv 8 3 2 4 P008_T4_2D_F4_MoCap.csv 8 4 2 4 P008_T1_3D_F3_MoCap.csv 8 1 3 3 P008_T2_3D_F3_MoCap.csv 8 2 3 3 P008_T3_3D_F3_MoCap.csv 8 3 3 3 P008_T4_3D_F3_MoCap.csv 8 4 3 3 P009_T1_2D_F1_MoCap.csv 9 1 2 1 P009_T2_2D_F1_MoCap.csv 9 2 2 1 P009_T3_2D_F1_MoCap.csv 9 3 2 1 P009_T4_2D_F1_MoCap.csv 9 4 2 1 P009_T1_3D_F2_MoCap.csv 9 1 3 2 P009_T2_3D_F2_MoCap.csv 9 2 3 2 P009_T3_3D_F2_MoCap.csv 9 3 3 2 P009_T4_3D_F2_MoCap.csv 9 4 3 2 P010_T1_2D_F2_MoCap.csv 10 1 2 2 P010_T2_2D_F2_MoCap.csv 10 2 2 2 P010_T3_2D_F2_MoCap.csv 10 3 2 2 P010_T4_2D_F2_MoCap.csv 10 4 2 2 P010_T1_3D_F1_MoCap.csv 10 1 3 1 P010_T2_3D_F1_MoCap.csv 10 2 3 1 P010_T3_3D_F1_MoCap.csv 10 3 3 1 P010_T4_3D_F1_MoCap.csv 10 4 3 1 P011_T1_2D_F4_MoCap.csv 11 1 2 4 P011_T2_2D_F4_MoCap.csv 11 2 2 4 P011_T3_2D_F4_MoCap.csv 11 3 2 4 P011_T4_2D_F4_MoCap.csv 11 4 2 4 P011_T1_3D_F3_MoCap.csv 11 1 3 3 P011_T2_3D_F3_MoCap.csv 11 2 3 3 P011_T3_3D_F3_MoCap.csv 11 3 3 3 P011_T4_3D_F3_MoCap.csv 11 4 3 3 Table 2: content and file structure of Labeled_MoCap_Data.zip. Csv format with joint angles, including data labels. Every column is a data stream from a joint. Every joint has a varying number of data streams, depending on the calculated angles. In addition to joint angles, the angles of the instrument relative to the body are given as well, the distances of the bow to the bridge, and to distances of the bow to the strings, respectively. An overview of the different labels and their meaning is given in Table 3. One data file per participant (P001-P011), per trial (T1-T4), per condition (2D/3D) is presented. Additionally, the data type (JointAngles), and the performed fragment (F1-F4) are given in the filename. An example of a file name is e.g., ‘P001_T1_2D_F1_JointAngles.csv’ for a participant (see Table 3). File Name Joint_Angle_Data.zip Content Participant Trial Condition Piece Data Type P001_T1_2D_F2_JointAngles.csv 1 1<strong>数据集说明</strong> ### 仓库结构 本仓库包含多个压缩包文件，每个压缩包内封装若干独立数据文件。我们将先逐一说明各压缩包的通用内容，再通过表格补充描述压缩包内单个数据文件的细节。表1给出了本仓库内所有压缩包的总览。 | 压缩包名称 | 内容描述 | |---------------------------|------------------------------| | Labeled_MoCap_Data.zip | 带标注的动作捕捉数据 | | Joint_Angle_Data.zip | 从动作捕捉数据中提取的关节角度 | | Analyzed_Data.zip | 经滤波与分析处理的动作捕捉数据 | | Audio_Data.zip | 受试者音频数据 | | Questionnaire_Data.zip | 问卷调研数据 | | Scores.zip | 参与者演奏的乐谱数据 | | Avatar_Data.zip | 所有与虚拟形象相关的采集数据 | *表1：本仓库内各压缩包总览* #### Labeled_MoCap_Data.zip 该压缩包内的数据为带标注的动作捕捉（Motion Capture，MoCap）数据，格式为CSV，包含完整的数据标注信息。每一列对应一个标记点的一路数据流，每个标记点包含3路数据流，分别对应该标记点空间位置的x、y、z轴坐标。此外，小提琴（对应3~4个标记点）与琴弓（对应3个标记点）同样带有专属标注。表2给出了各类标注及其含义的总览。 数据集按受试者（P001~P011）、测试轮次（T1~T4）、实验条件（2D/3D）分别存储为独立数据文件，文件名中同时包含数据类型（MoCap）与演奏片段（F1~F4）信息。文件名示例为`P001_T1_2D_F1_MoCap.csv`，详细字段说明见表2。 *表2：Labeled_MoCap_Data.zip的内容与文件结构* | 文件名 | 受试者编号 | 测试轮次 | 实验条件 | 演奏片段 | 数据类型 | |---------------------------------|------------|----------|----------|----------|--------------------| | P001_T1_2D_F2_MoCap.csv | 1 | 1 | 2D | 2 | 带标注的动作捕捉数据 | | P001_T2_2D_F2_MoCap.csv | 1 | 2 | 2D | 2 | 带标注的动作捕捉数据 | | ...（其余文件遵循相同命名规则） | ... | ... | ... | ... | ... | | P011_T4_3D_F3_MoCap.csv | 11 | 4 | 3D | 3 | 带标注的动作捕捉数据 | #### Joint_Angle_Data.zip 该压缩包内的数据为关节角度数据，格式为CSV，包含数据标注信息。每一列对应一个关节的一路数据流，每个关节对应的数据流数量取决于其所计算的角度种类。除基础关节角度外，数据集还包含乐器相对于受试者身体的角度、琴弓至琴马的距离以及琴弓至琴弦的距离相关数据。表3给出了各类标注及其含义的总览。 数据集按受试者（P001~P011）、测试轮次（T1~T4）、实验条件（2D/3D）分别存储为独立数据文件，文件名中同时包含数据类型（JointAngles）与演奏片段（F1~F4）信息。文件名示例为`P001_T1_2D_F1_JointAngles.csv`，详细字段说明见表3。 *表3：Joint_Angle_Data.zip的内容与文件结构* | 文件名 | 受试者编号 | 测试轮次 | 实验条件 | 演奏片段 | 数据类型 | |-------------------------------------|------------|----------|----------|----------|----------------| | P001_T1_2D_F2_JointAngles.csv | 1 | 1 | 2D | 2 | 关节角度数据 | P001_T1_2D_F2_JointAngles.csv 1 1