Gesture Dataset
This dataset was created at the Federal University of Bahia, Brazil, as part of the project presented to obtain a Master's degree in Computer Science, at the Institute of Mathematics and PGCOMP (Graduate Program in Computing).
This dataset contains 7 gesture classes, recorded from 7 subjects, performing between 15-30 times each ones, totalizing 1099 samples. The track was recorded using a Microsoft Kinect sensor with the OpenNI library tracker.
This repository contains two files. The gesture_raw.txt contains the raw data, while the gesture_origin.txt is normalized and centralized at the origin using the centroid.
The gestures were splitted using the following structure:
gesture [class name] [number of hands]
X Y Z X Y Z
X Y Z X Y Z
...
...
X Y Z X Y Z
end
Where the first vector is the left hand, and the second is the right hand.