|Description (include details on usage, files and paper references)||t is composed of food intake movements, recorded with Kinect V1 (320×240 depth frame resolution), simulated by 35 volunteers for a total of 48 tests. The device is located on the ceiling at a 3 m distance from the floor. The people involved in the tests are aged between 22 and 39, with different height (1.62-1.97 m) and build.
Three different unsupervised machine learning algorithms (SOM – SOM_Ex – GNG) have been exploited to track the movements.
For each frames we have also published:
- the skeleton provided by each one of the previous algorithms
- the GROUND TRUTH position for the head also for the left/right hands