Dataset for "Touché: Data-Driven Interactive Sword Fighting in Virtual Reality"

Data collection method:

Gesture recognition data was collected with VR hardware in a custom-made virtual scenario, where the subject was presented with a signal indicating a gesture to perform, which they then did while pressing a button on the hand controller. Animation data was motion captured with specialised equipment within the facilities of Ninja Theory, Ltd. User studies data was collected through online forms, filled after each condition of each of the studies.

Data processing and preparation activities:

The user studies data was preprocessed for convenience to produce an accessible JASP file. The preprocessing simply translated the raw text of the questions into short identifiers and mapped Likert points (like "strongly agree/disagree") to numerical values. For this publication, free-text comment data was removed from the dataset for anonymisation purposes.

Technical details and requirements:

Gesture recognition data was captured with an Oculus Rift kit. Animimation data was captured with Vicon Bonita hardware.

Additional information:

Gesture recognition data is stored in CSV files where each row contains the position and orientation of both hands and the gesture being performed on each frame. Animation data is stored in CSV files where each row contains the position and orientation of each joint of the skeleton. User studies data is stored in JASP files encoding the answers of each participant to each question in the study.