Pointing movements and eye-tracking data_Facilitated Communication Users

The repository contains all the pre-sorted data used for the analysis described in the paper. Data are divided into three: in A, we report the movement data of each pointing gesture considered in the analysis. in B we report keystrokes' related data. in C we report the sorted eye-tracking data. A. User Correct Movements: Each participant's data is organized into a 1xN cell array in Matlab, where N represents the number of pointing gestures analyzed. Each cell contains an Nx8 column vector with the following information: Time Information (column 1): Time associated with the pointing gesture (milliseconds). Arm Coordinates (columns 2,3 and 4): X-axis coordinates (millimetres). Y-axis coordinates (millimetres). Z-axis coordinates (millimetres). EMG Deltoid Activation (Facilitator) (columns 5, and 6) : Rectified EMG deltoid activation. Envelope EMG deltoid activation. EMG Deltoid Activation (User) (columns 7 and 8): Rectified EMG deltoid activation. Envelope EMG deltoid activation. B. Users' Keys Pressed with Probability: Each participant's data is organized into an Nx6 string array, where N represents the number of pointing gestures analyzed. Each array contains the following information: Key Press Time: Absolute time the key is pressed (milliseconds, as recorded by the key-logger). Time Between Keystrokes: Difference in milliseconds between two consecutive keystrokes. Key Pressed: The key that has been pressed. Pointing Time: Time taken by the arm to complete the forward phase of the pointing gesture (seconds). Character Position: Position of the pressed character within the word (spacebar hits are assigned the number 300). Key Selection Probability: Probability (percentage) of the key being selected. C. EyeTracking data sorted Each participant's data is organized into an N×6 cell array, where N represents the number of pointing gestures analyzed through eye-tracking. The contents of each row are as follows: Fixation Data (Nx5 vector): N is the number of fixations related to one pointing gesture. Each vector contains: The standardized time is determined by synchronizing the eye fixation with the arm movement. Given the movement duration is scaled from 0 to 10, we identify the moment when the eye-fixation occurs. This standardized time refers to the duration of the fixation relative to the duration of the pointing gesture. In column 1, we report the gross time, averaging the beginning and end of the fixation. In column 4, we provide the exact standardization at the start, and in column 5, the exact standardization at the end of the movement. During analysis, these times are synchronized with the movement duration, and we use the data from column 4. Euclidean distance between the fixated key and the target key (2nd column). Duration of each fixation (3rd column). Sequence of Fixated Keys: Contains the sequence of keys fixated by the user during each pointing gesture. Arm Movement Information: Includes details on the arm movement (same as reported in file A) corresponding to the eye-tracking fixation sequence. Target Key Pressed: Indicates the target key pressed by the participant. Probability of Key Pressed: Reports the likelihood of each key being pressed, as detailed in file B. Euclidean Distance Between Consecutive Keys: Measures the Euclidean distance between two consecutively pressed keys using the keyboard as a reference (refer to the paper text for more details).本仓库包含论文中所述分析所用的全部预分类数据。数据分为三个部分： A部分为本次分析中涉及的各指向手势的运动数据； B部分为按键相关数据； C部分为经过分类整理的眼动追踪数据。 A. 用户正确运动数据： 每位参与者的数据以Matlab中的1×N元胞数组形式组织，其中N为本次分析所涉及的指向手势的数量。每个元胞包含一个N×8的列向量，其信息如下： 时间信息（第1列）： 指向手势对应的时间（单位：毫秒）。 手臂坐标（第2、3、4列）： X轴坐标（单位：毫米）。 Y轴坐标（单位：毫米）。 Z轴坐标（单位：毫米）。 三角肌肌电（Electromyography, EMG）激活数据（辅助者）（第5、6列）： 整流后的三角肌肌电激活值。 三角肌肌电激活包络值。 三角肌肌电（Electromyography, EMG）激活数据（用户）（第7、8列）： 整流后的三角肌肌电激活值。 三角肌肌电激活包络值。 B. 用户按键及概率数据： 每位参与者的数据以N×6字符串数组形式组织，其中N为本次分析涉及的指向手势数量。每个数组包含以下信息： 按键时间： 按键绝对时间（单位：毫秒，由键盘记录器采集）。 按键间隔时间： 两次连续按键之间的时间差（单位：毫秒）。 按下按键： 被按下的按键。 指向时长： 手臂完成指向手势前向阶段的耗时（单位：秒）。 字符位置： 按下字符在单词中的位置（空格键被赋值为300）。 按键选择概率： 该按键被选中的概率（以百分比形式呈现）。 C. 眼动追踪分类数据： 每位参与者的数据以N×6元胞数组形式组织，其中N为通过眼动追踪分析的指向手势数量。每一行的内容如下： 注视数据（N×5向量）： N为单次指向手势相关的注视点数量。每个向量包含以下信息： 标准化时间通过将眼动注视与手臂运动同步得到。由于运动时长被缩放至0至10的区间，我们可据此确定眼动注视发生的时刻。该标准化时间指注视时长相对于指向手势总时长的比例。第1列为总时间，为注视起始与结束时刻的平均值；第4列为注视起始时刻的精确标准化值；第5列为运动结束时刻的精确标准化值。分析过程中，这些时间将与运动时长同步，我们采用第4列的数据进行后续处理。 注视按键与目标按键之间的欧氏距离（第2列）。 单次注视的持续时长（第3列）。 注视按键序列： 用户在每次指向手势过程中注视的按键序列。 手臂运动信息： 包含与眼动注视序列对应的手臂运动细节（与文件A中所述内容一致）。 目标按键： 参与者按下的目标按键。 按键概率： 各按键被按下的可能性，详见文件B中的说明。 连续按键间的欧氏距离： 以键盘为参照，两次连续按下按键之间的欧氏距离（详细说明请参见论文正文）。