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THU-HRIA dataset(Human-Robot Interactive Action Dataset From The Perspective Of Service Robot)
- Citation Author(s):
- Submitted by:
- Jazon Wang
- Last updated:
- Wed, 03/15/2023 - 08:57
- DOI:
- 10.21227/1748-2840
- Data Format:
- License:
364 Views- Categories:
- Keywords:
Abstract
Most of the existing human action datasets are common human actions in daily scenes（e.g. NTU RGB+D series, Kinetics series）, not created for Human-Robot Interaction(HRI), and most of them are not collected based on the perspective of the service robot, which can not meet the needs of vision-based interactive action recognition.
This dataset is named as “Human-Robot Interactive Action Dataset From The Perspective Of Service Robot (THU-HRIA dataset) “ ,which is created for indoor service robot action interaction, collected by Tsinghua University.
THU-HRIA Dataset uses a kinectV2 as multimodal sensor data collector, which can collect RGB, infrared, depth, bodypoints and other forms of data. In terms of specific content, the THU-HRIA dataset includes 8 common actions in both daily restaurant scene and robot interactive scene, totally 576 action samples. The eight action classes are: 1- waving ; 2- calling gesture; 3- beckoning; 4- stepping back; 5-eating; 6- pass by; 7-fall; 8:using phone. For each action, we set different specifications like distance, situation and repetition. Please see the description for more details.
1. Download link:
Due to the problem of file uploading, the uploaded data only has the format of key point type. The original file is being uploaded. If you are particularly urgent, please use the following external link channels:
External download link: Quark disk link https://pan.quark.cn/s/a9fbd83ece8e
Please contact us to get the file extraction code
2. detailed information：
Number of actions：8 action , 576samples in total
Acquisition： format RGB, depth, infrared, bodypoints, etc
Dataset size： 242 GB (including the original file size of all formats)
Action type：8types：1- waving ; 2- calling gesture; 3- beckoning; 4- stepping back; 5-eating; 6- pass by; 7-fall; 8:using phone.
Acquisition： equipment Microsoft KinectV2
Camera height： The camera is placed at a height of 1.2m (robot height), and the angle of view is 15 ° upward
Action duration：Starting from 0, usually around 150 frames (about 5s)
Repetitions：Repeat 2 times for each action
Performer： Maximum number of people : 1
view ： Single view (simulated robot)
scene： Single scene, indoor
situation： Sitting/standing; Front/side; From left to right/from right to left
distance： Fixed distance, long distance: 3m; Short distance 1.5m
3. Citation: The article to which this dataset belongs is currently not published. If you need to quote, please directly quote this website or contact us. After the paper is published, we will update the quoted content as soon as possible.
4. Contact us
If you want more information or have any questions about this dataset, please contact 493282923@qq.com or wangjz20@mails.tsinghua.edu.cn ，Jazon Wang . We will try our best to help you.
Documentation
| Attachment | Size |
|---|---|
 ReadMe_HRIAdataset.pdf | 794.5 KB |
