TABLE 1.
Function | Description |
acceleration_x | Computes acceleration for points on x-axis for a given data frame in OpenPoseR format. |
acceleration_y | Computes acceleration for points on y-axis for a given data frame in OpenPoseR format. |
clean_data | Discards points with probabilities below a pre-defined cut-off as well as zero values by imposing data. |
create_csv | Creates a CSV file in OpenPoseR format from raw OpenPose JSON output. |
det_hand | Determines whether the left, right, or both arms were moved by the actor. |
en_acceleration | Computes Euclidean norm of sums of acceleration vectors (x,y). |
en_velocity | Computes Euclidean norm of sums of velocity vectors (x,y). |
file_acceleration | Computes acceleration for a CSV file generated by create_csv(), using acceleration_x() and acceleration_y(). |
file_clean | Cleans a CSV file generated by create_csv() using clean_data(). |
file_en_acceleration | Computes en_acceleration() for given CSV files generated using file_acceleration(). |
file_en_velocity | Computes en_velocity() for given CSV files generated using file_velocity(). |
file_velocity | Computes velocity for CSV file generated by create_csv(), using velocity_x() and velocity_y(). |
file_video_index | Creates a video index using video_index() for a given directory and save it as a CSV file. |
plot_frontal | Plot a heatmap of points extracted from OpenPose data using create_csv(). |
plot_timeseries | Plot a time series (velocity or acceleration), derived from OpenPose data using OpenPoseR. |
velocity_x | Compute velocity for points on x-axis for given data frame in OpenPoseR format. |
velocity_y | Compute velocity for points on y-axis for given data frame in OpenPoseR format. |
video_index | Create an index of video files and their properties (length, frame rate, etc.) in a given directory. |
Notice that for all of the software’s core functionality, so-called wrapper functions with the prefix “file_” make it possible to directly work with files as input and output arguments, thereby making it easier to handle data derived from large sets of video clips.