Published June 4, 2018
| Version 1.0.0
Dataset
Open
Leap Motion Hand Gestures for Interaction with 3D Virtual Music Instruments (LMHGIf3DVMI)
Authors/Creators
- 1. Institute for Language and Speech Processing, Athena Research and Innovation Center, Greece
- 2. Institute for Language and Speech Processing, Athena Research and Innovation Center, Greece and Department of Informatics, University of Piraeus, Greece
Description
The aim of the dataset is to investigate machine learning real-time gesture recognizer captured with a Leap Motion sensor to control the performance of a virtual 3D musical instrument. The dataset includes from 10-15 samples for each of the 8 gesture classes collected from 10 participants (5 female and 5 male) using the Leap Motion sensor.