Welcome

The goal of this website is to segment human whole-body motions. This Dataset will hopefully enable us to automate segmentation of whole-body motions. Such segmentations would be pretty useful since it would allow us to learn about motion primitives and also action and intention recognition from humanoid motions. However, we need your help to collect these segmentations!

The Dataset

If you're looking for the KIT Motion-Segmentation Dataset, which contains the segmentation data that have been collected through this website, look no further. You can freely download the dataset. The download page also contains additional information and code example to help you get started. Also if you are seeking the KIT Motion-Language Dataset have a look at this.

Getting Started

1

You'll first need an account. But don't worry, creating one is very easy and completely hassle-free. Simply sign up.

If you are a member of the H²T team, you don't even need to do that. Just sign in with your Redmine account!

2

As soon as you are signed in, we'll start showing you human whole-body motions like the one below.

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We've made sure that you can inspect the motion as necessary. You can use the left mouse button to rotate the camera. Use the mouse wheel to zoom in and out. You can familiarize yourself with the controls in the example above. Give it a try now, it's fun!

3

The segmentation process was designed as simple as possible: After we've shown you a motion (like the one on the left), we ask you tell us in which segments you would segment the Motion into.

Please have a look at the examples to have a quick tutorial on the segmentation process

Additional Information

If you are interested, we are more than happy to give you more details of the nature and the purpose of this dataset. All motions were recorded at the High Performance Humanoid Technologies (H²T), which is part of the Faculty of Informatics at the Karlsruhe Insitute of Technology. All recorded motion is freely available through the KIT Whole-Body Human Motion Database.