HANDS: an RGB-D dataset of static hand-gestures for human-robot interaction.

ABSTRACT: The HANDS dataset has been created for human-robot interaction research, and it is composed of spatially and temporally aligned RGB and Depth frames. It contains 12 static single-hand gestures performed with both the right-hand and the left-hand, and 3 static two-hands gestures for a total of 29 unique classes. Five actors (two females and three males) have been acquired performing the gestures, each of them adopting a different background and light conditions. For each actor, 150 RGB frames and their corresponding 150 Depth frames per gesture have been collected, for a total of 2400 RGB frames and 2400 Depth frames per actor. Data has been collected using a Kinect v2 camera intrinsically calibrated to spatially align RGB data to Depth data. The temporal alignment has been performed offlin

SUBMITTER: Nuzzi C 

PROVIDER: S-EPMC7873347 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature