AllGestureWiimoteY UCR Archive Dataset

This dataset is part of the UCR Archive maintained by University of Southampton researchers. Please cite a relevant or the latest full archive release if you use the datasets. See http://www.timeseriesclassification.com/.

The original data include 10 subjects, each perform 10 gestures 10 times. The gesture acquisition device is a Nintendo Wiimote remote controller with built-in three-axis accelerometer.  Each subject performs a set of gestures multiple times. Classes are based on gestures (see class labels below). Note that data are shuffled and randomly sampled so that instances across datasets are not sychronized by dimension or subject. Time series are of different lengths. There are no missing values.

The gestures are (class label. original label - English translation):

poteg: pick-up

shake: shake

desno: one move to the right

levo: one move to the left

gor: one move to up

dol: one move to down

kroglevo:  one left circle

krogdesn: one right circle

suneknot: one move toward the screen

sunekven: one move away from the screen

This data is acceleration in y-axis dimension.

Donator: J. Guna