/test

Primary LanguageShell

SmartWatch Gesture

The SmartWatch Gestures Dataset has been collected to evaluate several gesture recognition algorithms for interacting with mobile applications using arm gestures.

Eight different users performed twenty repetitions of twenty different gestures, for a total of 3200 sequences. Each sequence contains acceleration data from the 3-axis accelerometer of a first generation Sony SmartWatch™, as well as timestamps from the different clock sources available on an Android device. The smartwatch was worn on the user's right wrist. The gestures have been manually segmented by the users performing them by tapping the smartwatch screen at the beginning and at the end of every repetition.

Usage

\w 1

Field Descriptions

Colume Type Tag Original
time TIMESTAMP System.currentTimeMillis()
time_nanos BIGINT NO System.nanoTime()
time_event BIGINT NO event.timestamp
access_x DOUBLE NO event.values[0]
access_y DOUBLE NO event.values[1]
access_z DOUBLE NO event.values[2]
participant STRING YES
gesture STRING YES
Click here to show/hide data
time time_nanos time_event accel_x accel_y accel_z participant gesture
1384186054309 78952598976553 1452892000000 1.532289 -0.919373 10.113108 U01 01

Disclaimer: SmartWatch Gestures Dataset is provided for research or academic purposes only. Publications and works that use this dataset should please refer to one of the papers referenced below.

publications