Clustering of Motion Trajectories by a Distance Measure Based on Semantic Features-Reference-Cited by-同舟云学术

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Clustering of Motion Trajectories by a Distance Measure Based on Semantic Features

Published:2023-12-12 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids)
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Author:

Zelch Christoph¹,Peters Jan²,von Stryk Oskar¹

Affiliation:

1. Simulation Systems, Optimization and Robotics Group,Department of Computer Science TU Darmstadt Hochschulstr. 10,Darmstadt,Germany,64289

2. Intelligent Autonomous Systems Group,Department of Computer Science TU Darmstadt Hochschulstr. 10,Darmstadt,Germany,64289

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10375141/10374561/10375228.pdf?arnumber=10375228

Reference28 articles.

1. Unsupervised Gait Phase Estimation for Humanoid Robot Walking*

2. Incremental learning of full body motion primitives and their sequencing through human motion observation

3. Clustering of Humanoid Robot Motions Executed in Response to Touch

4. Synthesizing object receiving motions of humanoid robots with human motion database

5. Hand gesture recognition using K-means clustering and Support Vector Machine

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