HANDS：用于人机交互的静态手势RGB-D数据集。

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

作者信息

Nuzzi Cristina, Pasinetti Simone, Pagani Roberto, Coffetti Gabriele, Sansoni Giovanna

机构信息

Department of Mechanical and Industrial Engineering (DIMI), University of Brescia, Brescia, Italy.

出版信息

Data Brief. 2021 Jan 30;35:106791. doi: 10.1016/j.dib.2021.106791. eCollection 2021 Apr.

DOI:10.1016/j.dib.2021.106791

PMID:33604423

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7873347/

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 offline using MATLAB, aligning frames with a maximum temporal distance of 66 ms. This dataset has been used in [1] and it is freely available at http://dx.doi.org/10.17632/ndrczc35bt.1.

摘要

HANDS数据集是为机器人与人类交互研究而创建的，它由空间和时间对齐的RGB帧和深度帧组成。它包含用右手和左手执行的12种静态单手手势，以及3种静态双手手势，总共29个独特类别。已采集了五名演员（两名女性和三名男性）执行这些手势的情况，他们每个人都采用了不同的背景和光照条件。对于每个演员，每个手势收集了150个RGB帧及其相应的150个深度帧，每个演员总共收集了2400个RGB帧和2400个深度帧。数据是使用经过内部校准的Kinect v2相机收集的，以便将RGB数据与深度数据进行空间对齐。时间对齐是使用MATLAB离线执行的，将帧的最大时间距离对齐为66毫秒。该数据集已在[1]中使用，可在http://dx.doi.org/10.17632/ndrczc35bt.1上免费获取。